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during infection using machine learning Detailed information on and specific requirements for each project is given below. The IceLab Multidisciplinary Postdoctoral Program funded by Kempestiftelserna
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enable research that would otherwise not be possible in Sweden. At SciLifeLab, we do not only apply the latest and most advanced technology, we also develop novel technologies and transform the data
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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expanding area at the School of Engineering, and we are hiring several assistant professors, postdocs and doctoral students. For more information about our department, visit our website . The newly
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gene editing, dynamic enzyme regulation, as well as screening of genetic libraries. The project will also make use of systems biology data, such as genomics and proteomics, to achieve these goals
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but is expected to engage in frequent collaborative work across the Öresund region, including regular experimental coordination with Copenhagen-based researchers and data collection at national
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to altered patterns of gene expression. We have assembled a unique data set of three independent lineages of Italian sparrow Passer italiae and their parental species, with data on gene expression and tissue
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment