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Machine Learning available at Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo. Starting date no later than 01.10.2026. The fellowship period is three years. A
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). Proficiency in Data Analysis: Ability to synthesize complex information and data into clear, compelling narratives for a variety of audiences. Data Literacy: A proven ability to look at a dataset, identify
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the whole team. You will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project
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, College of Department: Data Science Rank: Associate Professor Annual Basis: 9 Month Application Deadline October 31, 2025 Required Application Materials Candidates are asked to apply online at https
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challenging due to the system complexity and the limited data-set size; however, often data coming from related, similar scenarios might be available. In view of this, the goal of this project is to advance
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Integration and Analytics and University Data Officer reports to the Chief Information Officer with a dotted line to the Provost. S/he works closely with the Strategic Analysis group in the Provost Office in
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involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics
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, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing
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, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
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Medicaid agencies, public health departments, or mental health agencies Experience providing analytic support involving claims data, using advanced statistical and mathematical concepts to direct complex