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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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individual laboratories. Computational methods and artificial intelligence based on large-scale molecular data are transforming the study of biological systems at all levels – from molecular structures and
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educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics, molecular biology, or related disciplines. We believe that varied perspectives, experiences, and competencies
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development. Work responsibilities The candidate will lead a multidisciplinary research program investigating the genotoxic and epigenetic effects of NPs. Responsibilities include developing mutagenesis assays
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, synthesis laboratories, cleanrooms, computational resources, and more. The Department of Chemistry conducts research in all core areas of chemistry with a broad theme of research for a sustainable society
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. bioinformatics, computer science, computational biology or similar 5+ years of experience in bioinformatics, with some experience of epigenomic data At least one years’ experience of working in a core facility or
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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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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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, coherent idea of what you would like to study in our research environment. Computational skills (e.g. data analysis in R and additional experience with a command-line user interface) are also merits
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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