32 computer-science-intern-"https:"-"https:" Fellowship positions at University of Oxford
Sort by
Refine Your Search
-
of Social Sciences. It is the largest political science department in Norway and covers all subfields of the discipline: international politics, public policy and administration, comparative politics
-
of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
-
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
-
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
-
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
-
over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
-
regulatory materials. The post holder will not have line management responsibilities but will work closely with the Principal Investigator and a network of internal and international collaborators across
-
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
-
international guidelines. Other duties will include being on call as needed, and maintaining complete and accurate study files. It is essential that you hold a medical degree and are GMC registered, currently
-
opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected