10 computer-science-phd Postdoctoral positions at University of London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
-
School of Biological and Behavioural Sciences Post title: Postdoctoral Research Associate into Epstein-Barr virus; Post Reference: 7896 About the Role Applications sought for a postgraduate
-
a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary theory or cancer genetics. About the School The Barts Cancer Institute (BCI) is a Cancer Research UK
-
Principal Investigator with the day-to-day running of the project. About You The successful candidate will have a degree and PhD (or close to completion) or research qualification/experience equivalent to PhD
-
degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
-
offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational
-
detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
-
dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
-
also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
-
the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and