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will provide experimental input to the models and for validation. If appropriate and needed, machine-learning-based approaches may also be a part of the research activities, allowing for a combination of
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Mar 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded
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technology Engineering » Materials engineering Chemistry » Physical chemistry Physics » Applied physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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optimization. knowledge of data analysis, including statistics, and machine learning techniques. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly
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25th February 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Environmental Sustainability Analysis of H2-based energy
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analysis, including statistics, and machine learning techniques Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly conduct research in a
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and enablers to effective collaboration develop and apply quantitative methodologies (e.g., machine learning, neural activity modeling, decision analysis) to create decision-support tools and adaptive
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Safety (RAMS) or Cybernetics or Computer Science with a focus on Artificial Intelligence/Machine Learning your education must correspond to a five-year Norwegian degree program, where 120 credits
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projects in the laboratory as well. The proposed project is intended for an MSc-level person who wishes to acquire PhD degree. PhD Trainees in my laboratory typically graduate within 3-4 years, and I put