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for Planetary Habitability (PHAB), Department of Geosciences, Faculty of Mathematics and Natural Sciences, University of Oslo (UiO) in collaboration with the Geological Survey of Norway (NGU), Trondheim. Starting
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experience with NorESM would be highly advantageous. A strong background within the area of aerosol-cloud-climate interactions is also required. The Faculty of Mathematics and Natural Sciences has a strategic
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. Have excellent skills in mathematics and probabilistic AI. Good written and oral English PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the
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different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R. Have excellent skills in mathematics and probabilistic AI. Good written
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of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with
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the most relevant information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust
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requirements Applicants must hold a Master’s degree (120 ECTS) or equivalent in Statistics, Computer Science, Mathematics, Computational Biology or related field, minimum grade B (ECTS grading scale
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Norwegian). Desired qualifications Good experience/knowledge in electrical machines, synchronous generators, applied signal processing, applied mathematics, and finite element analysis. Programming experience
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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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sciences, electrical engineering, mathematics, information technology or related field. This year’s candidates/candidates who will finish their master’s degree in the summer can also apply. Experience in