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, candidates must have: • A PhD in a relevant field for data visualization, GIS, and network analysis, such as geographic information science, geography, geoinformatics, cartography or geosciences. • Several
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monitoring data and new data collected within the project. Areas and time periods with different abundances of herring will be used to investigate the role of herring in the coastal ecosystem, as prey
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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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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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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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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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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