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the National Capital Region and Forbes Canada’s Best Employers! As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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intelligence, computer science, remote sensing, geomatics, data science, or a forest/environmental science discipline with a strong quantitative or AI component Strong knowledge of machine learning and deep
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science, psychology, communication science, computational social sciences, sociology, or one of the related social sciences; Knowledge of topics related to emotions and A.I. and training in quantitative and
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for more information. You must have a relevant Master's degree in civil engineering, structural engineering, mechanical engineering, railway engineering, transport engineering, computer science, data science
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17 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics » Applied physics Physics » Biophysics
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal