Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
-
. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
-
neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
-
Full Time, 1 year fixed term contract We wish to appoint a Research Assistant or Postdoctoral Research Associate with experience in Electronic Health Records (EHR) research to work alongside the
-
An exciting new opportunity for a Postdoctoral Research Associate has become available within the Bivalve Transmissible Neoplasia Group (www.zoo.cam.ac.uk/btn ), a newly-established small
-
-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
-
We are seeking an enthusiastic, motivated individual for a postdoctoral position in the group of Professor Anne Willis, MRC Toxicology Unit, University of Cambridge. You will join an exciting
-
techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
-
University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
-
. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure