291 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" Postdoctoral positions in United Kingdom
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will be based at the Institute for Medical Humanities, working closely with Dr Arya Thampuran (Narrative Practices Lab). They will be expected to lead data collection, manage the day-to-day running of
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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collaborators at DU ES and the industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across
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research standards, including animal handling, experimental procedures, and colony management. The postholder will contribute to experimental design, data interpretation, and dissemination of research