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July 1, 2026. Subjects include Geochemistry, Environmental science, Earth science/geology, Hydrology, Environmental engineering, or a closely related field. Admission to the doctoral program at
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer Interaction
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cookie and refresh page to watch video, or click here to open video) About the position Studies of phase formation, evolution of microstructure and casting defects in high-pressure die casting of recycled
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, and advanced schools. access to high-performance computing resources and state-of-the-art computational tools. Where to apply Website https://forms.gle/tkVEz36pRVdLUhY78 Requirements Research
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-performance computing, and direct interactions with experts in AI for Science, computational imaging, and large-scale experimental methods (with Prof. Jeyan Thiyagalingam). You will spend time at both sites (75
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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awareness, and decision quality. The project will examine how system design, automation characteristics, and regulatory or governance constraints shape human performance and patient outcomes in safety
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular