15 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" Fellowship research jobs at University of Oxford
Sort by
Refine Your Search
-
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
-
for candidates to pursue an independent research programme in applied mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: https
-
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
-
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
-
As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
-
virology. Here you will have the opportunity to acquire advanced skills in virology and/or immunology as you develop your research project, uniquely tracking viral evolution and immune responses from a known
-
Simon Travis, as the Head of the Gastroenterology at the Kennedy Institute of Rheumatology. https://www.youtube.com/watch?v=s24vh_Me3L4 This post is funded through the NIHR Oxford Biomedical Research
-
As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
-
Research Fellows in applied mathematics which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID : 182821 Two Glasstone Fellowships are available and all applications for the Hooke and Titchmarsh
-
computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world