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NTNU 30th April 2025 Languages English English English We are looking for a PhD Candidate in Computational Modelling of Thin-Film Magnetic Materials Apply for this job See advertisement This is NTNU
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elicitation. Integrated in an international team of collaborators (CCMAR PT, CNRS FR, GEOMAR DE & NORD NO), combining expertise in kelp cultivation, defense elicitation, the kelp microbiome, ‘omics and
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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program in Engineering
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and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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algorithm development and teaching. This project bridges structural engineering, AI, and computational design, contributing to innovation in conceptual design workflows and promoting diverse, efficient, and
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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, coordinated by Maritime CleanTech, is funded by the Horizon Europe Framework program under grant no. 101192740 , within the call: HORIZON-CL5-2024-D5-01 Clean and competitive solutions for all transport modes
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highly motivated Doctoral Research Fellow in a full time (100 %) fixed term position available for three (3) years at the Faculty of Computer Science, Engineering and Economics, Department