60 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"Prof" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
-
interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
-
execute experiments and contribute conceptually to the overall research programme. The post-holder should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular/cell biology or genetics
-
collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
-
collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
-
Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
-
experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research income generation
-
demonstrable related experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research
-
-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
-
, engineering, or a related field. Strong programming skills and experience in machine learning or statistical modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning