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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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methodologies, and publish at a high level. The lab offers deep integration between wet-lab and computational biology, and close connections to institutional resources and collaborative networks across Duke-NUS
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Program . Job description The fellowships are aimed at early-career researchers with a basic science background or clinicians who aspire to a career in academia. We are particularly interested in candidates
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at Mount Sinai and the New York City area. The qualified candidate should have • PhD degree • Proficient experience with molecular biology-related experiments, cell biology-related
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must fulfill the following criteria: A completed doctoral degree in the life sciences, biomedical sciences, computational biology, engineering, or a related discipline by the start date of the fellowship
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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Position Details School of Geography, Earth and Environmental Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue