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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
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this team, you will play a key role in developing computational methods, analyzing complex datasets, and contributing to integrative omics efforts in close collaboration with researchers from various
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requirements Applicants should possess a Master’s degree in chemistry, computational chemistry, or biophysics. Required qualifications include practical experience with molecular dynamics simulations and
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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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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of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in architectural visual representation and modelling in both 2D and
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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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