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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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or willingness to learn LC–MS, NMR, and UV–Vis for product and protein characterization. You need to: Collaborate effectively in an interdisciplinary team, share protocols, and give/receive constructive feedback
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species’ distributions over time. The project will primarily use existing datasets in close collaboration with the project Past, Present, Future for the Alpine (PPF-Alpine, https
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of the Norwegian Centre for Headache Research (NorHEAD). The position is funded by the University of Bergen. Learn more at www.norhead.org . International and collaborative environment This position offers a unique
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chemistry, spectroscopy, and computation to iterate design–build–test–learn cycles and to elucidate structure–activity–mechanism relationships. You will join a well-equipped laboratory and a professional
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primarily use existing datasets in close collaboration with the project Past, Present, Future for the Alpine (PPF-Alpine, https://mountainsinmotion.w.uib.no/ ), but there is also flexibility for the candidate
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in collaboration with Statnett, CERN, ETH Zürich, and the University of Oslo develop deep learning online monitoring and anomaly detection algorithms tailored to the specific characteristics
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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society from various theoretical perspectives and develop new responsible digital technology. Our other priority area of research is Language in Learning, which aims to enhance collaboration across language
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10th October 2025 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply