Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- KINGS COLLEGE LONDON
- ;
- University of London
- King's College London
- Imperial College London
- Royal College of Art
- ; Royal Holloway, University of London
- ; University of Cambridge
- City University London
- Queen Mary University of London
- The Royal Veterinary College, University of London;
- University of Sussex
- University of West London
- 3 more »
- « less
-
Field
-
understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology. Experience in human embryology and cell biology methods
-
research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit from being part of a larger team investigating Treg biology and Treg-focused
-
for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
-
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
-
and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
-
The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 8 days ago
. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a candidate with an interest in flight mechanics and sensory systems
-
PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
-
About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
-
are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
-
supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science