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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description We are looking for a PDRA to complete the work
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) Understanding of basic cell culture techniques (media preparation, sterile conditions) Computer literacy is essential for the recording and communication of results Experience of work in sterile conditions
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus