49 genetic-algorithm-computer-"UCL" Fellowship positions at University of Birmingham in United Kingdom
Sort by
Refine Your Search
-
the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
-
July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
-
contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
-
processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge
-
: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
-
to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
-
) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
-
properties and structure of zeolite ion-exchange materials using mechanical testing, x-ray diffraction and computed tomography and developing structure-property relationships. Working across the discipline
-
to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
-
particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those