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and October 2025. Essential Functions Develop/implement methods using hydrological models, remote sensing, data assimilation, and machine learning techniques to simulate global river discharge Present
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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system models remain incapable of simulating this damaging impact of winter warming on ecosystems, and subsequent feedbacks to the atmosphere. Therefore, this PhD position will focus on the physiological
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their final master exam before 15.07.2025. It is a condition of employment that the master's degree has been awarded. Experience from molecular dynamics (MD) simulations is a requirement. Experience with the
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, cryo-EM, etc. An understanding of protein modeling and simulation. Additional Qualifications Considered May require experience with specialized software programs such as PyMol, Chimera and others
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publications in well-recognised peer-reviewed outlets. Frequently the first year of a post doc is dedicated to preparing a doctoral dissertation for publication as a book. The Fellow will be encouraged
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system models remain incapable of simulating this damaging impact of winter warming on ecosystems, and subsequent feedbacks to the atmosphere. Therefore, this PhD position will focus on the physiological
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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: The host research group, led by Professor Helge Ræder, MD, PhD, at the Department of Clinical Science, University of Bergen, applies AI in endocrinology and digital health. Our research integrates AI