353 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST" Postdoctoral positions in United Kingdom
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loan schemes Employee Assistance Programme Access to sports and social clubs Discounted travel schemes Flexible working arrangements will be considered. How to Apply Submit a CV, supporting statement
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T cell recognition across a range of disease models, including cancer. We are looking for an individual with substantial experience in advanced computational data analysis and programming, with
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services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range
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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 income generation
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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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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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) 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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equality. We offer an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The
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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