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a great challenge in the ongoing quest for making future shipping sustainable. Are you also interested in ships, first-principle physics, artificial intelligence, and machine learning? Then this job
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hydrogenerators”. The project is linked to the new research center FME RenewHydro . You will join the research group Electrical Machines and Electromagnetics (EME) at IEL, where we foster an open, inclusive, and
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close relation with another PhD student in Université de Lille, France. The selected candidate will have the opportunity to learn form a consortium of 8 institutions (10 Beneficiaries, 3 Partner
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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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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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experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
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of mobile robot navigation principles Strong skills in data analytics, computer vision and machine learning Skills in scientific writing Applicants who have recently graduated with excellent results may be
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-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent education (with a focus on interaction design, HCI, wearable computing
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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