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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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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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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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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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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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techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications
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. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
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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