22 computing "https:" "https:" "https:" "I.E" Fellowship positions at University of Oxford
Sort by
Refine Your Search
-
work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
-
are seeking a researcher to lead a programme of work to develop a new strengths and abilities assessment toolkit to enhance strengths-based education for neurodivergent primary school-aged children. This will
-
opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
-
develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
-
Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
-
on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
-
recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
-
major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
-
, subject to a successful review, the post-holder will be eligible for reappointment until retirement age. The Associate Professor will develop a world-leading research programme in climate physics and earth
-
biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be