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already developed MS. The project will apply advanced methods on causal inference in observational studies. The work package is led by Assistant Professor Kjetil Lauvland Bjørnevik at Harvard T.H Chan
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for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is expected to assist
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advertisement About the position Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting date no later than December 1, 2025
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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: Applicants must hold a degree equivalent to a Norwegian doctoral degree in computer science, statistics, mathematics, data science, or related fields. Doctoral dissertation must be submitted for evaluation by
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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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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training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must
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to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train