183 phd-position-in-database-modeling Postdoctoral positions at University of Oxford in United Kingdom
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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We are excited to offer this Research Assistant position at the University of Oxford, under the supervision of Professor Paul Goldberg. This is an exciting opportunity to contribute to a major
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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This is a crystallography Postdoctoral Research Associate position in the Schofield group and the Ineos Oxford Institute for antimicrobial research (IOI). The institute aims to combat antimicrobial
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facilely applied as a photoluminescent layer, targeting in situ detection and non-contact visualization of surface temperatures and pressures. You should hold a PhD/DPhil (or near completion*) in materials
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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scientific oversight from Oxford Principal Investigators and GSK scientists, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification
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and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise