Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia;
- University of East Anglia
- University of Exeter
- University of Exeter;
- Swansea University
- The Institute of Cancer Research
- ;
- Edinburgh Napier University;
- Loughborough University
- Swansea University;
- University of Birmingham
- University of Birmingham;
- University of Cambridge
- University of Sheffield;
- 4 more »
- « less
-
Field
-
Fleshy-fruited Myrtaceae, comprising nearly half of the ~6,000 species, represent a key evolutionary innovation linked to diversification and dispersal. This project investigates the ecological and
-
-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics. Person Specification This project is ideal
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Proposed topic “Creating a National Digital Twin for self-harming
-
fundamental evolutionary biology, the project has broad relevance to conservation, pest management, aging, and human health. For example, many sex-specific diseases are thought to arise from mutations
-
for the next generation of models is the detailed treatment of spin precession and orbital eccentricity. These effects encode critical information about compact binary formation channels and evolutionary
-
(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
-
Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
-
. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
-
is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected. References: 1. Osman J, Higgins JD, Sanchez-Moran E, Armstrong SJ