81 high-performance-computing-postdoc research jobs at University of Cambridge in United Kingdom
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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a team that integrates molecular biology, low- and high-throughput protein biochemistry along with computational approaches to understand protein substrate specificity at a molecular level. We are
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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Lab's expertise in tumour initiation and early transformation, this project aims to intercept breast cancer before it starts, with a particular focus on individuals carrying high-risk mutations in BRCA1
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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candidate will primarily support other team members in conducting ongoing observational studies and clinical trials. Key responsibilities will include: Assisting the team in producing high-quality research
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A Copy Writer position has become available as part of the Climate Compatible Growth (CCG) programme, an exciting research programme involving leading UK universities and KTH Sweden. CCG is funded