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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
Technology » Marine technology Mathematics Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 14 Apr 2024 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time
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18 Apr 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Physics Technology Mathematics Astronomy
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need for exploring methods how to efficiently train a mathematical based tumor with such data. Secondly, there is a need for testing how such a trained Digital Tumor model can capture relevant aspects
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Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering, Department of Energy Resources and the Department of Safety
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students and approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics
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@norsar.no via Unsplash Qualifications Required qualifications: MSc or equivalent in seismology, geophysics, physics, applied mathematics, statistics, or statistical signal processing Solid quantitative and
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invites applicants for a PhD Fellowship in Physics at the Faculty of Science and Technology, Department of Mathematics and Physics. The position is vacant from August 2024. This is a trainee position that
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
knowledge and experience within following fields: Mathematical modelling and simulation Machine learning (supervised/unsupervised/reinforcement learning) and data science Probabilistic risk analysis Computer
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approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department
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are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within control engineering, applied mathematics, electronic and embedded systems or signal