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under the UK’s International Science Partnerships Fund Early Career Fellowships programme. The British Council funded International Science Partnerships Fund puts research and innovation at the heart
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of human musculoskeletal tissues and undertake computational analysis of multi-omic datasets of human musculoskeletal tissues. You will be adapting existing and developing new experimental protocols
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. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint), Scientific Data Analysis and Graphing Tools and other relevant computer-based tools used in a modern research environment
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Postdoctoral Research Associate in Machine Learning ( Job Number: 25000466) Department of Computer Science Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: 24 months
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Biomedical Campus. You will join an exciting research programme investigating critical host factors influencing the pathogenesis of Monkepox Virus. This post will involve the use of cutting-edge proteomic
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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experience in computing and flow-synthesis would be highly advantageous. The project is due to start in April 2025. Appointment at the Research Associate level is dependent on the award of a PhD. Those who
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C
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air sensitive techniques. Successful candidates will join the EPSRC Programme Grant 'Digital Navigation of Chemical Space for Function' as part of a multidisciplinary team that integrates the targeting