5 machine-learning PhD positions at NTNU Norwegian University of Science and Technology in Norway
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address this challenge using advanced experimental techniques, numerical simulations, and machine learning methods to develop high-fidelity 3D renderings of deformed samples during physical tests. By
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to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
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criteria Prior publications within relevant fields Strong problem-solving skills and a demonstrated capacity for innovative thinking Experience and expertise in machine learning Personal characteristics
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Detection and Machine Learning (IEL) PhD in Power Grid Modelling for Net-Zero Energy Systems (IEL) PhD in Incorporating Distribution Grids in Multiscale Stochastic Energy System Models (IØT) PhD in Aspects
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before