583 computer-programmer-"https:"-"INSA-toulouse" "https:" "https:" "https:" "https:" "https:" "CNRS " Fellowship research jobs in United Kingdom
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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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wider research culture of the University. A key component of the role is the opportunity to develop your own programme of research. Applicants are therefore required to submit a research proposal (1,500
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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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undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified research grants and projects and contribute to writing
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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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positions available 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
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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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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during