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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 17th August 2025 Languages English English English PhD Research Fellow in Formal Methods
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immunological problem. Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and
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of their fellowship period within the duty component of 25 %. Place of work is Department of Informatics at Blindern, Oslo.. Project description The postdoctoral position is funded by the Department
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position within the research project “Statistical Methods for Online Detection of Anomalies” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre
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learning in the Visual Intelligence Graduate School . You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25% teaching component. The Department teaches in all the sub
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of their fellowship period within the duty component of 25 %. More about the position / Project description The research of the Nuclear Physics group is focused on the study of atomic nuclei under extreme
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), funded by the Research Council of Norway. The project’s goal is to develop mathematical and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random
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design is a long-standing computational and immunological problem. Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches