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application! We are looking for a PhD student in Scientific Visualization in the scientific visualization group at the division of media and information technologies based at the Department of Science and
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totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can
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to the development of ongoing research. This will include the integration, modelling, and advanced statistical analyses of large genetic, ecological, and environmental data sets. The successful candidate is also
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and career advancement across the globe. DDLS industrial PhD position We are announcing the position of Data-driven life science (DDLS) PhD student in data driven cell and molecular biology. This is an
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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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the humanities and social sciences. For more information about the research and other activities conducted within WASP-HS please visit http://wasp-hs.org/ . The PhD candidate will take part in the WASP-HS graduate
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. The office is also responsible for the coordination and administration of training activities, the planning and organisation of scientific events, and SciLifeLab’s communication and information activities
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publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific