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College of Chemistry and Molecular Engineering, Peking University | London, England | United Kingdom | about 18 hours ago
About us We are seeking a talented and ambitious Research Fellow to join a groundbreaking interdisciplinary project at the intersection of computational biology, ecology, statistical modelling and
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lab management, collaborations and outreach. About the person: The successful applicant will have a background in respiratory biology, mouse models of lung injury, work with genetically modified animals
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: The successful applicant will have a background in respiratory biology, mouse models of lung injury, work with genetically modified animals, immunology, human lung regeneration, cell aging, senescence, siRNA
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About the role The main purpose of this position is to lead the molecular- and micro-biology aspects of a BBSRC-funded project focused on engineering robust, modular, synthetic microbial communities
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Pioneer the future of discovery and innovation at The University of Manchester with the Faculty of Biology, Medicine and Health Bicentenary Early Career Research Fellowship. To celebrate 200 years
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. computational biology, applied mathematics, systems biology, or bioengineering. A demonstrable interest in synthetic biology or microbial ecology Produced or contributed to high-quality research software in any
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disciplinary strengths in biomedical sciences, clinical research and public health to improve human health. Our faculty encompasses world-class departments (from neuroscience and structural molecular biology to
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world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and