346 programming-"the"-"DAAD"-"EURAXESS"-"U"-"UCL"-"U.S" Postdoctoral positions in United Kingdom
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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demonstrable related experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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) Country United Kingdom Application Deadline 16 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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programme are to: Understand the mechanisms of retinal diseases Develop advanced therapies for retinal diseases (including gene augmentation, gene Editing using CRISPR, anti-sense oligonucleotides and novel
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large