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Field
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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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the development of ballistic protection panels using computational numerical methods, and to validate your results by comparison to experimental tests of the designed panels. Your activities will include
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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically
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the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We
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Section for Computational and RNA Biology, Department of Biology, University of Copenhagen | Denmark | 3 months ago
genomics methods and single cell techniques - both experimentally and computationally - to profile enhancers and promoters, model their activities and decode their interactions. For more information, please
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the physical chemistry of hydrogen bonds. Your overall focus will be the collection of experimental spectroscopic data and its analysis with quantum calculation techniques and molecular simulation methods. Your
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spectroscopy, and other spectroscopic methods. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which