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possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae - including a list of publications, bachelor/master
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student aims to investigate how specific fission products can be removed from molten salt. The emphasis will be on understanding and optimizing the removal process, where physical transport phenomena play a
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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be used to address the following questions: What are the mechanisms of embolization of the lung? Can we predict where thrombi end up? What are the optimal drug infusion protocols for efficiently
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) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared to single-connectivity baselines Carry out research in other related areas Disseminate findings
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” funded by the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
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for additively manufactured switched reluctance machines. The project focuses on optimizing the selection control method according to the machine design. Also, the control method will be used as an input