124 computational-solid-mechanics Postdoctoral positions at University of Oxford in Uk
-
and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
-
researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
-
Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
-
to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
-
Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
-
Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
-
hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets