449 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" Fellowship positions in United Kingdom
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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, process integration, and electrical/optical metrology to evaluate stacks for all-optical magnetic switching (AOS). You will plan and run cleanroom process flows end-to-end—from mask design and lithography
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to translate these findings into an industrially relevant recycling process. The work will investigate the relationship between feedstock format, reaction conditions, and product yield through systematic
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programme of research within the broad thematic of “Africa and the World”, or Africa in the contemporary global order. We are particularly interested in candidates whose research demonstrates a strong and
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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applicant will work mostly within our Technology Assessment Review programme, undertaking research to support National Institute for Health and Care Excellence (NICE) decision making, and in our NIHR Evidence
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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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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until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2026-05. The supporting statement section should set
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced