359 web-development-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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and take a collaborative approach that fosters the development of professional and effective working relationships with key stakeholders. A demonstrated ability to write for publication, present
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will encompass bio-informatician analysis, organ on-a chip development, small molecules testing, precision medicine trials, and development of a single cell platform. About Queen Mary At Queen Mary
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traumatic intracranial haemorrhage. You will also be given the opportunity to contribute to teaching and engage with career development opportunities. The post is part-time (60% FTE) and is available for up
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in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and
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internationally-recognised expertise, consultancy work and contributions to policy development are utilised by a myriad of organisations and networks. By connecting social scientists, biomedical researchers and
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to a multi-lab MRC-funded research project aiming to develop advance humanised pain models. This role is part of a multi-disciplinary team including expertise in cell culturing, electrophysiology, and
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science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and development of new 3D nanoscale magnetic metamaterials. We’d like you to be part of the team
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pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In
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international team - including Dundee, EMBL-EBI and German Bioimaging - to develop next gen file format strategies and data management for existing large complex multimodal human tissue bioimaging datasets at KCL