857 computer-science-programming-languages-"CNPEM" Fellowship positions in United Kingdom
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with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those
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-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role. Salary from £53,949 to £62,160 pa inclusive with potential to progress to £69,073
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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initiative improving outcomes in diabetes emergencies PCOS SEVa – a national programme addressing variation in the quality of care for polycystic ovary syndrome (PCOS) Role Summary Work within specified
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programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in
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About the role We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting
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a leading Employee Assistance Program For more information check out our benefits page! Your new team - "The School of Agriculture, Food and Ecosystem Sciences" The School of Agriculture, Food and
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics