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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
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- The Norwegian School of Sport Sciences
- UiT The Arctic University of Norway
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life. Department of Geography and Social Anthropology We conduct research and teach in subject areas related
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. Programming skills, with experience or willingness to learn Python. Experience with image analysis and/or signal processing techniques. Quality of the master's thesis and the relevance of the master's thesis
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and willingness to learn Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong and international professional
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mechanics and AI. This project will advance precision medicine through collaboration with experts in cardiology and machine learning. The mitral valve (MV) ensures one-way blood flow between the left atrium
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, training deep learning models to adapt designs to boundary conditions, and integrating FEM workflows within parametric modeling environments like Grasshopper. The candidate will contribute to building a
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
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willingness to learn new fields and adapt to a multidisciplinary research environment Are a problem solver, with ability to use existing knowledge in new ways Work independently Work in a structured way, set
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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital