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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels
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-precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep