105 computional-geometry-algorithm Postdoctoral research jobs at University of Oxford
Sort by
Refine Your Search
-
sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
-
optimising protocols, designing and accurately executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as
-
trials, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will participate in the research programme led by Professor Adrian Hill
-
engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the development and application of bespoke thin-film gauge heat
-
engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge of optical diagnostics and optical experiments to operate within the planned programme of
-
, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the CFD simulation of internal combustion engines, and in particular in-cylinder
-
objects such as neutron stars and black holes. Strong computational experience and proficiency in simulations is highly preferred. The post-holder may be expected to help in the supervision of DPhil and
-
The post will be based within the Oxford Centre for Functional MRI of the Brain (FMRIB), reporting to Professor Saad Jbabdi. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This project involves development of machine learning methods for...
-
Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study
-
data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via