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About the role The Sussex Bioinformatics lab is seeking a skilled Postdoctoral Research Associate in Bioinformatics to join our team. You will play a central role in developing the CRUK Data Hub
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are looking for a...
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or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows that support our cutting-edge clinical trials, with a focus on 'omics data analysis. You will
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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skills and knowledge of computer programming such as Unix, Python and R Previous experience with multi-omics and their integration Deep technical understanding of bioinformatics analysis approaches and