36 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Oxford
Sort by
Refine Your Search
-
the incidence of business taxes using administrative data from Denmark. The project is led by Professor Niels Johannesen. • The fellow will be expected to be an experienced team member, to work in the Centre, and
-
postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
-
on the Application Form. Information about Plant Sciences at Oxford can be found at https://www.biology.ox.ac.uk or by contacting the head of the Molecular Plant Sciences Section (lars.ostergaard@biology.ox.ac.uk
-
of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) and NIHR Oxford Biomedical Research Centre under the supervision of Professor Christopher Buckley as the Director Clinical Research and Professor
-
of Professor Tom Douglas, Co-Investigator on the Programme. This two-year post would be suitable for individuals who have a doctorate in moral philosophy, criminal justice ethics, public health ethics, legal
-
Musculoskeletal Sciences (NDORMS) under the supervision of Professor Javaid and Pinedo-Villanueva. As a Clinical Research Fellow, you will work as part of an interdisciplinary team with state-of-the-art training in
-
international networks including RECOVERY, ISARIC, PREPARE and OUCRU. The study is led by Professor Yacoub, Chief Investigator, based at the Pandemic Sciences Institute (NDM, Oxford) in collaboration with
-
. The project is led jointly by Professors Peter Watkinson (NDCN) and Marian Knight MBE (National Perinatal Epidemiology Unit) and funded by the National Institute for Health and Care Research (NIHR). The project
-
positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development of their academic profile and to support the department, Fellows will be required
-
research interests compatible with those of our current faculty in the following research groups: mathematical biology, mathematical and computational finance, numerical analysis, machine learning and data