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Technician
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About Us The King’s Health Partners Experimental Cancer Medicine Centre (ECMC) is one of 29 centres across the UK and specialises in new molecular and cellular cancer immunotherapies. The KHP ECMC has been awarded funding for a further 5-years to expand their trials portfolio, including agents discovered and developed by King’s College London researchers. With an extensive portfolio of early phase and translational clinical trials, there is an increasing requirement for tissue sampling and complex sample preparation. The post is based within KHP Cancer Biobank, part of the School of Cancer and Pharmaceutical Sciences. About The Role The successful candidate will support the ongoing expansion of trial-related sample handling and processing. This work requires effective monitoring, collection, and processing of patient samples in accordance with defined protocols. The postholder will have a broad knowledge and experience of sample handling. The translational lab can be supporting 20 or more trials at any one time and the postholder will be responsible for delivering a reliable and accurate service. This requires good organisational and planning skills. The postholder may be required to communicate complex information clearly and concisely with the clinical trial team members. Alongside clinical trial activities, the successful candidate will provide support to the Cancer Biobank. This will primarily involve processing biological fluids, which may include periods of intense activity. Both clinical trial and biobank activities are undertaken within a tightly regulated environment. The postholder will be required to actively participate in the quality management system. However, evolution of systems is encouraged to improve efficiency and sustainability. Whilst sample collection should be scheduled in advance, a flexible approach is required as these may be at locations other than Guy’s Hospital and are dependent upon other Trust service providers. Hence, sample collection and processing may occur outside of core hours. The post holder will be responsible to the Specialist Chief Technician and accountable to KCL Head of Biobanking. This is a full time (35 hours per week) post and will be offered on a fixed term contract until 31/03/2027. This post is subject to Disclosure and Barring Service and Occupational Health clearances. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Minimum level 3 qualification, e.g. A levels, AS levels, International Baccalaureate diploma or other Level 3 qualification, plus work experience in relevant technical/scientific posts OR Considerable knowledge and skills gained through work experience in relevant technical or scientific posts. Evidence of an active commitment to career development including professional registration, such as RSciTech or RSci and clear progression in increasingly demanding jobs. Knowledge and practical use of a range of technical skills and their environmental impact. Ability to apply learnt techniques to the work context. Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing/behavioural skills. Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g., suppliers) to build relationships and network. Solutions-focused self-starter, with strong planning and analytical skills, able to manage competing priorities and work with minimal supervision Working knowledge of regulations and best practice governing area of work, including Health & Safety and environmental sustainability. Desirable criteria Experience in supervising/advising less experienced colleagues, monitoring, and providing feedback on performance. Able and willing to provide support beyond core hours, as required. Previous experience of handling and processing biological samples. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £34,713 per annum inclusive of London Weighting Allowance Job ID: 133967 Close Date: 04-Jan-2026 Contact Person: Amy Pope Contact Details: Amy.pope@kcl.ac.uk
Salary
£34,713 per annum inclusive of London Weighting Allowance
Posted
18 Dec 2025
Research Assistant in Medicinal Chemistry
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About Us The Institute of Pharmaceutical Science (IPS) at KCL supports world class fundamental and applied research across the full spectrum of pharmaceutical science, from drug discovery through biophysical and biological characterization, pharmacology, formulation, drug delivery and use of medicines, with a strong culture of multi-disciplinary collaboration and links to clinical colleagues evidenced by awards of major grants from organisations such as MRC, BBSRC and NC3Rs. The medicinal chemistry laboratory of IPS has been recently refurbished and modernized with new equipment and facilities, and the selected candidate will be based at the medicinal chemistry laboratory at Franklin Wilkins Building. About The Role Inflammation drives the pathogenesis of many respiratory disorders. Established anti-inflammatory medications (e.g. glucocorticosteriods or PDE4 inhibitors) have questionable efficacy in the majority of COPD patients. Patients often suffer side effects (eg increased pneumonia risk in patients administered glucocorticosteroids; dose limiting gastrointestinal side effects with PDE4 inhibitors). Furthermore, current drugs are delivered via the inhaled route, and cannot address the issue of systemic inflammation in COPD patients that increases the likelihood of disease exacerbations, or inflammation-driven co-morbidities (e.g. cardiovascular disease) that are also life threatening. Research into the inflammasome; and inflammatory resolving pathways are novel competing strategies, however these retain a risk of immunosuppression. Our approach is advantageous because: 1, systemic platelet activation during inflammation is a critical process that does not carry operational redundancy; 2, targeting biased P2Y1 signalling associated with inflammation eliminates side effects associated with haemostasis eg unwanted bleeding; 3, rapid anti-inflammatory effects are induced by targeting platelet activation; 4, regular platelet turnover means drug effects can be ‘washed out’ if needs be; 5, we have proven local (lung) efficacy via systemic administration of our tool compounds. The project will provide data to allow comparisons between chemical scaffolds (involve synthesis of novel structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model of respiratory disease (COPD), therapeutic dosing strategy to determine duration of action, (in house); pharmacokinetic (PK) data, and early safety profiles (maximum tolerated dose MTD) outsourced to Eurofins. This is a 0.5 FTE post, you will be offered an a fixed term contract until 30/09/2026. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria MSc in Medicinal Chemistry, Pharmaceutical Chemistry or Pharmacy. Practical experience of C-C, N-C and amide coupling reactions, protection-deprotection chemistry and multi-step synthesis Knowledge of small-molecule characterization using NMR, IR, UV, Mass and HPLC techniques Knowledge of software packages, including Word, Excel and chemical structure drawing and bibliographic programmes Knowledge of analytical and preparative LC_MS techniques Track record of published research in peer-reviewed journals of international standing Research experience in Synthetic and Medicinal Chemistry Desirable criteria Experience in chemistry laboratory management including electronic inventory maintenance Record of presenting scientific research at national/international conferences Experience in operating LC-MS system Excellent interpersonal skills Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held in January/February. Grade and Salary: £39,735 per annum inclusive of London Weighting Allowance Job ID: 134225 Close Date: 04-Jan-2026 Contact Person: Professor Miraz Rahman Contact Details: k.miraz.rahman@kcl.ac.uk
Salary
£39,735 per annum inclusive of London Weighting Allowance
Posted
18 Dec 2025
Research Fellow (GIS & Ecosystem Services) - CSC2
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Job Details This Research Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading researchers and contribute to cutting-edge research and policy dialogues at the intersection of blue–green infrastructure, tropical urban ecosystem services, and urban resilience (covering themes such as urban flooding, thermal cooling, recreation, and biodiversity). The work includes Local Climate Zone (LCZ) classification and collaboration with Japanese university partners for integrated macro- to micro-scale analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem service models. Conduct literature reviews and synthesize findings into conceptual frameworks and research designs. Support cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization. Draft and edit research reports, policy briefs, and academic manuscripts. Contribute to project management, workshop organization, and stakeholder or policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem service identification and analysis is highly advantageous. Excellent data management, research design, and reporting skills. Strong communication and presentation skills in English. Highly organized, proactive, and capable of working both independently and within multidisciplinary teams. Additional Note: While prior experience in ecosystem service modelling and simulation is not mandatory, it will be considered a strong advantage. Candidates with a solid GIS or remote sensing background who demonstrate interest in applying their skills to ecosystem service assessment are encouraged to apply. The project team will provide on-the-job training and guidance in ecosystem service modelling tools (e.g., InVEST and related software) to support skill development and ensure effective integration across research tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and scientific communication. Works independently and collaboratively in multidisciplinary teams. Demonstrates initiative, adaptability, and sound research ethics.
Salary
Competitive
Posted
18 Dec 2025
Assistant/Associate Professor of Music - Piano
University of Mary Hardin-Baylor
United States, Belton
University of Mary Hardin-Baylor
United States, Belton
Assistant/Associate Professor of Music - PianoID: 2031Department: MusicType: Full-time FacultyPost Date: 12/11/2025Position Available Date: 12/18/2025DescriptionThe University of Mary Hardin-Baylor Music Department welcomes applications for a full-time, tenure track faculty position as Assistant Professor of Piano. The successful candidate will teach undergraduate courses in Applied Piano and other courses as appropriate to the candidate's strengths, beginning in late July of 2026. UMHB seeks faculty who are active Christians and dedicated teacher-scholars to prepare students for leadership, service, and faith-informed discernment in a global society.The Department of Music offers the following undergraduate degrees: Bachelor of Music in Music Education, Bachelor of Music in Vocal Performance, Bachelor of Music in Church Music, Bachelor of Arts in Music, and Bachelor of Science in Music (with emphases in Music Business, Worship Technology or Performance). UMHB is accredited by the National Association of Schools of Music (NASM).UMHB is conveniently located in Belton, a historic town of 22,000 in the heart of central Texas. Nearby cities are Temple (7 miles), Waco (42 miles), Austin (60 miles), San Antonio (130 miles) and Dallas/Ft. Worth (130 miles). Excellent schools, abundant cultural and recreational opportunities, and a high quality of life are hallmarks of the local community.Faculty Responsibilities: Activities required of all faculty include exemplary teaching, curriculum development, student recruitment and advising; professional attainment; and service to department, college, university, and the community.Specific Responsibilities: We seek a dynamic piano instructor to help advance a forward-thinking program that prepares students for the diverse opportunities of today's music profession. Primary responsibilities include teaching Applied Piano, Class Piano, and Accompanying. Additional assignments may be made based on departmental needs and the candidate's qualifications.Qualifications: Must be an active and committed Christian who will support the University's mission and who will be an active participant in their local church.Terminal degree in a related field or a master's degree with commensurate experience is required.Experience with various style of music preferred (classical, jazz, worship).Candidate must demonstrate experience as a collaborative pianist.Excellent teaching and communication skills, a dedication to professional attainment, and commitment to quality improvement are essential.Must agree to the University's Employee Statement of Understanding.Salaries & Benefits: Competitive salary commensurate with experience, excellent benefits including medical and dental insurance, retirement plan with match, and UMHB tuition benefits for employees and their dependents.Application Deadline: Position will remain open until filled.To Apply: Please click the "Apply Now" link to apply for this position.Please submit a cover letter, CV, transcript copies, and evidence of quality teaching performance with your online application.Your letter of interest should also respond to UMHB's mission and values, found at http://about.umhb.edu/our-mission.In addition, include in one page or less, a description of your own Christian beliefs and commitments.Review of applications will begin immediately and continue until position is filled. For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18o7890yCopyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-4add56b0d1995440952bffe0429aa1bd
Salary
Competitive
Posted
18 Dec 2025
Research Fellow in AI for Climate Modelling
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
About the Role We are seeking to recruit a Research Fellow in AI for Climate Modelling to become a member of the School of Ocean and Earth Science at the University of Southampton. The successful candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques for generating high-resolution climate projections. In addition to developing, testing, evaluating, and iterating the model, you will engage with stakeholders to design user-friendly interfaces that maximise impact. The successful applicant will join an active ocean and climate physics group at the University of Southampton. You will be part of a vibrant oceanographic and climate science community at the School of Ocean and Earth Science and the National Oceanography Centre, working closely with national and international partners. We are strongly committed to developing the next generation of climate-modelling tools. The post is a fixed-term appointment for 36 months (3 years), with the possibility of extension for up to one additional year, and is part of a UKRI Future Leaders Fellowship project awarded to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science with substantial experience applying advanced AI methods to climate problems. We are particularly interested in researchers who develop or apply state-of-the-art ML/AI approaches — such as deep learning, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in HPC or cloud environments. Strong quantitative problem-solving and communication skills are also essential. We welcome applications from all interested candidates and particularly encourage those who identify as Black, Asian, from a minority ethnic or lower socio-economic background, LGBTQ+, women, or people with disabilities, as these groups are currently underrepresented in our community. What we can offer you We are an ambitious, supportive academic community committed to helping everyone reach their full potential in education, research, and enterprise. We hold a departmental Athena SWAN Bronze award and an institutional Silver award. We value diversity, equality, and flexible working, and we consider career breaks for reasons such as parental leave, disability, or illness. We offer a generous holiday allowance, additional closure days, subsidised health and fitness facilities, and membership of the Universities Superannuation Scheme (USS). We also support early career researchers in line with the Concordat to Support the Career Development of Researchers. Enquiries For informal inquiries please contact Dr. Duo Chan (Duo.Chan@soton.ac.uk).
Salary
£41,064 to £44,746 per annum
Posted
18 Dec 2025