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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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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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the application of rock physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or
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or cryogenic electron microscopy (cryo-EM) Determination of protein ligand binding using biophysical methods (SPR, ITC, or related methods) Experience in the following areas is an advantage: Structure-based drug
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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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include an educational component. This is the right position if you are highly motivated about fundamental science and excited about questions related to fluid flows, droplets, wetting phenomena and
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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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well as on development of plat-forms for running and evaluating prediction models. The PhD candidate will develop methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance