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) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research activities and a wide-ranging portfolio of education programmes. Celebrating diversity and
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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and Physical Sciences at HWU. He is also Honorary fellow at the (UoE ) School of Informatics, and Academic Guest at the (EPFL ) Signal Processing Laboratories. The position is open in the context of a
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About Us King’s College London is one of the world’s leading universities whose School of Cancer & Pharmaceutical Sciences unites basic, translational and clinical expertise to accelerate progress
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candidate with skills and experience in some of the following areas: Quantitative approaches such as longitudinal data analysis, analysis of large datasets and/or data science Experience of working with
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, one of the world's most vibrant centres of biomedical research, which includes the University of Cambridge's Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the
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Postdoctoral Research Associate ( Job Number: 25000740) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: 24 months Contracted Hours per Week
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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The Role The Department of Theology and Religion at Durham University, in partnership with the Society of the Sacred Heart, invites applications for a 36-month Fellowship in Catholic Social Thought and Practice. The successful applicant will be expected to work on a research topic of their own...
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael