9 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "Multiple" research jobs at University of Newcastle in United Kingdom
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, please contact Henrik Strahl via email (h.strahl@ncl.ac.uk ) or BlueSky (@henrikstrahl.bsky.social) . Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find
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Research Assistant/Associate in the safer management of long-term conditions (LTCs) in disadvantaged
outcomes, and (multiple) long-term conditions. This position offers an opportunity to make an impact on an overlooked area of research, whilst developing a career in applied health service research. The role
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: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development
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via utilisation of high throughput nanodroplet techniques. With additional work undertaken to elucidate the structural response of crystalline materials under a variety of extreme conditions (ultra
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contact: [Dr Apoorva Peddada- apoorva.peddada@ncl.ac.uk] Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here
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discovery team alongside other medicinal chemists, structural biologists and cancer pharmacologists to advance projects to discovery experimental medicines. The project is part of the Cancer Research UK
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will be evaluated by end users in Spring 2026. Working as a member of Newcastle’s Power Systems research group and supported by the University’s Research Software Engineering team, you will continue to
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techniques from crystallisation to extreme conditions diffraction Experience of collection of crystallographic data at both home laboratories and central facilities Experience of crystal structure solution and
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extraction, model training, and performance evaluation. • Strong skills in critical data analysis, interpretation of results, and construction of conceptual or computational models to explain biological