577 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral research jobs in United Kingdom
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About Us We are a world-class visitor attraction and leading science research centre. We use the Museum's unique collections and our unrivalled expertise to tackle the biggest challenges facing
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of Bioproducts and Biosystems of Aalto University School of Chemical Engineering (Otaniemi Campus, Espoo, Finland), in the Bioprocess Engineering research group (https://www.aalto.fi/en/department-of-bioproducts
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Applications are invited for a Postdoctoral Research Associate in Lanthanide Coordination Chemistry and Spectroscopy to work under the supervision of Professor Stephen Faulkner for a period of up to
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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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impact? We are currently seeking a/an PostDoctoral Researcher 91 Centre for Microbiology and Environmental Systems Science Startdate: 15.05.2026 | Working hours: 20 | Collective bargaining agreement: §48
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of developments in in vitro and in vivo models of mechanotransduction. We use a multi-disciplinary approach that includes expertise and collaborations in bioengineering, biochemistry, structural biology, and
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy