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Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science Infrastructures Didactics of Informatics Digital
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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courses, have eagerness to explore complex mathematical challenges, have excellent proficiency in English both written and spoken, be able to work both independently and collaboratively. TU Delft (Delft
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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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molecular matter C: Control and functionality in complex heterogeneous systems Open positions are continuously published on the following website: https://www.cui-advanced.uni-hamburg.de/en/career/job
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. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
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– funded by the German Research Foundation (DFG) – offers a three-year, English-language doctoral programme with a highly complex, multidisciplinary field of research that provides our doctoral candidates
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structured doctoral education and promotes excellent research in mathematics and natural sciences (http://www.gauss.uni-goettingen.de ). The Faculty of Physics offers you a wide range of physical sub-fields
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 2 months ago
? How can we manage, analyse and integrate complex, large-scale genomic, epigenomic, transcriptomic, translatomic, proteomic and metabolomic datasets to answer biological questions and generate new