431 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in United Kingdom
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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brain prioritises behaviour when animals face conflicting internal needs and changing environmental demands. This position forms part of the Wellcome Trust Discovery Award programme “Decoding Competition
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-intensive Universities? As a Research Fellow in Computational Climate Politics you will work on the UKRI FLF project “Understanding normative change to address the climate emergency ”. This is a 4+3 grant
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
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is likely to be at or near postdoctoral level. This post is linked to the Programme for the Foundations of Law and Constitutional Government at the Faculty of Law, University of Oxford. The Junior
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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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fellows will undertake a programme of tailored research and training activities such as developing new interdisciplinary skills, developing impact from your previous research, undertake short-term research
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building