30 cloud-computing-adoption Fellowship positions at UNIVERSITY OF SOUTHAMPTON in ENGLAND
-
, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
-
of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
-
The Role: We are seeking an outstanding computational biologist to join the BioFAIR Pathfinder project to develop computational framework for gene regulatory network (GRN) inference methods in
-
collaborators in computational chemistry, natural product isolation and biosynthesis. You will be encouraged to present your research at national and international conferences, contribute to publications arising
-
of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship
-
This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2 electrolyser for CO production, and derisk for further commercialisation. The project aims
-
(R3) Application Deadline 11 Aug 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
balance. Due consideration will also be given to applicants who have had career breaks for reasons including maternity, paternity or adoption leave, disability or illness. Both the University of Southampton
-
, adoption and parental leave). https://www.southampton.ac.uk/hr/services/benefits-explained/index.page As a university we aim to create an environment where everyone can thrive and are proactive in fostering
-
Applications are invited for an ambitious Senior Research Fellow in Health Economics to work at the University of Southampton and contribute to a nationally-leading research programme funded by