608 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" Fellowship positions in United Kingdom
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of Electronics and Computer Science. We are commited to improving equality for women in science and have been successful in achieving an Athena SWAN silver award in 2025. We give full consideration to applicants
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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Position Type: Fixed Term Duration: 24 Month Fixed Term Contract About the Role Informal Queries For informal queries, please contact Professor Carsten Maple at cm@warwick.ac.uk WMG undertakes research projects in trustworthy and responsible artificial intelligence funded by UK Research and...
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About us UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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Job Title: Research Fellow (Data Scientist) - INNOVATE+ Project Department/School: School of Computing, Engineering and Intelligent Systems Campus: Derry~Londonderry campus Salary: Grade 8 (£48,822
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once the 2026 call is launched). All potential candidates are encouraged to carefully check the full candidate eligibility criteria in the Horizon Europe Work Programme - 2026-2027 - Marie Sklodowska
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programme “Decoding Competition in the Brain”, which builds on recent advances revealing how neuromodulatory circuits reshape decision-making under conflict (Cazalé-Debat, Scheunemann et al., Nature 2024; Day
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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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suitable for a trainee with relevant experience in cancer clinical research as out of program experience or for someone wishing to pursue a career in these specialties prior to obtaining a training number