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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary environment
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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involve both independent and collaborative research activities. Approaches used will include biochemistry, molecular biology, genome engineering as well as imaging-based methods. An acceptable DBS check is
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-cell development and lymphoid leukemogenesis and the application of these mechanistic insights to the development of novel anti-cancer immunotherapy approaches, methods to improve T-cell recovery
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ideally suited for an MD or PhD scientist who is enthusiastic about working at the intersection of basic science and clinical research. Research Focus & Responsibilities The successful candidate will
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focused on human specimens, animal studies are used on occasion. Your qualifications should include: PhD or M.D. Pre-doctoral experience/training in type 1 diabetes research desirable but not an absolute
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on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from
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, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary environment
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. Your qualifications should include: PhD degree in an appropriate discipline such as cellular or tumor immunology or related fields Interest and knowledge in vaccine research (poxvirus especially) and