Sort by
Refine Your Search
-
supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting. The essential selection criteria are holding a PhD/DPhil in Computer
-
are holding a PhD/DPhil in Computer Science or related discipline, demonstrated experience in Foundation Models (generative AI) as well as Bayesian machine learning, ML security, or general deep learning, a
-
researchers currently using the resource. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), in epidemiology, statistics or a related subject. Proficiency in
-
adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian methods and probabilistic circuits
-
. The ability to draft sections of manuscripts for publication and present statistical results at conferences is essential. A PhD (or equivalent) in a relevant scientific subject (or near completion) is desirable
-
the transition to global environmental sustainability. Reporting toLead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
-
Epidemiological Studies Unit (CTSU), Oxford Population Health (Nuffield Department of Population Health). To be considered for the Statistical Epidemiologist post, you will hold a PhD or be close to completion, in
-
methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
-
biological sources (i.e. cell cultures, including iPSCs and other relevant tissues and specimens). It is essential that you hold a PhD/DPhil (or close to completion) in biology, chemical biology, pharmacology
-
machine learning algorithms to support cutting-edge analyses of complex datasets. It is essential that you hold a PhD/DPhil (or close to completion) in statistics, machine learning, bioinformatics