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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher in Computational and Systems Biology to lead innovative research
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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instance Hours: Full time (37.5 hours per week) About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry-lab
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pressing challenges. We are seeking a Research Fellow in Molecular Dynamics and Computational Chemistry to join the School of Electronics and Computer Science (ECS) at the University of Southampton
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pressing challenges. We are seeking a Research Fellow in Molecular Dynamics and Computational Chemistry to join the School of Electronics and Computer Science (ECS) at the University of Southampton
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The Role This is an exciting opportunity to join the Innovate UK funded project 'CHERI-Zephyr++: A memory-safe, lightweight real-time operating system for critical RISC-V embedded systems', led by Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr...
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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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