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is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science
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for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP ), invites candidates to apply
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computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project
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analysis. The candidacy period is three years from the start date and the desired start date is 01/12/2025. The research group, Experimental Studies of Complex Human Behaviour (ESCOHub), has an overarching
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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Engineering and Computer Science. The position is vacant from the fall 2025. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a
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. The postdoctoral researcher participates in a project set between classical public opinion research, (social) media (content) analytics and data linkage, and Computational Social Science. The goal is to capture
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of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd