342 programming-"the"-"DAAD"-"Diamond-Light-Source"-"FEMTO-ST" Postdoctoral positions in United Kingdom
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- Xi'an Jiaotong - Liverpool University
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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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Deadline 1 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 Is the Job related to staff position
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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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the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC
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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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transfer imaging), Proficiency in neuroimaging analysis pipelines, including familiarity with tools such as FSL, MRtrix, ANTs, or equivalent, and programming or scripting in Python, R, or bash/zsh on Linux
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, engineering, or a related field. Strong programming skills and experience in machine learning or statistical modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning
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fungal pathogen, Cryptococcus neoformans. We are seeking a highly motivated postdoctoral scientist to join our interactive research programme. You will study mechanics and regulation of cell division and
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part of your personality: You have successfully completed a doctoral program in Judaic Studies or a related field by the application deadline. You have experience with interdisciplinary theories and
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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