85 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Nature Careers in United Kingdom
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experimental biophysics, computer science, structural biology, biochemistry or a related discipline.* Practical experience in cryo-EM data analysis and/or molecular dynamics simulations.* A strong understanding
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Pathogen Programme. Reporting to Head of Population Data Science, the role involves collaborating with internal teams and external partners to assess, develop methods for, and implement at scale
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interdisciplinary, involving not only basic cardiovascular scientists and clinicians, but colleagues in inflammation biology, data science, computer science and engineering. The BHF is one of the largest charitable
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Python, and a genuine interest in supporting others while building scalable, well-designed analysis pipelines. This role is ideal for someone with a background in neuroscience or computational data science
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carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the Programme Cancer Grand
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leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine
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data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely
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from either engineering, physics, computer science or medicine, with the life sciences. We welcome applicants with experience across diverse areas of biomedical imaging. You will integrate imaging
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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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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental