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that affects the measured data and translate the observations into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including
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experiments related to the mission of the lab, collect, and analyze data, and assist in the preparation of research manuscripts and presentations for publication and conferences. Further responsibilities will
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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studies; will analyze, present, and publish resulting data; and will play a central role in generating the preliminary and supporting data required for the PI's extramural grant applications. Independent
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25 Sep 2026 Job Information Organisation/Company Institute of Physical Chemistry, Polish Academy of Sciences Department Combinatorial chemistry and biochemistry Group Research Field Chemistry
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characters (1 A4 page) containing concise information on scientific / professional interests, achievements to date, possible participation in research projects and own research interests, scan of PhD Diploma
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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the field of empirical social research, combining different types of data (narrative and linguistic data, observational data and field notes, autobiographical documents and artefacts) and applying your
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improve access to divertor-relevant target exposure conditions. Validate simulation results against experimental data and constrain code inputs to reduce uncertainty in predictions for future experiments