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(or equivalent) in Computer Science, Machine Learning, Mathematics, or a related technical field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record
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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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, biotechnology, or a closely related field which may include computational biology, computer science, data science, statistics, systems biology, biomedical engineering, or applied mathematics with a clear interest
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equivalent) in geophysics or a closely related field such as applied mathematics or theoretical/computational physics. Master’s students may apply if they expect to complete their final examination by
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. good command of English and excellent communication skills a strong documented background in mathematics Special emphasis will be given to candidates with prior experience in the above-mentioned topics
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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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Hansen, Ingun A.Mæhlum Qualifications This position requires: A Norwegian master’s degree (or equivalent) in a relevant discipline, such as: machine learning, computer science, mathematics, statistics
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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18 Sep 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Physics Mathematics Researcher Profile Recognised
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and