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architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The
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technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome
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processing. Faculty of Science & Engineering Department of Chemical Sciences Contract Type: Specific Purpose Salary Scale: €47,273- €53,925 (maximum starting point €47,273) p.a. pro rata University of Limerick
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together expertise in polymer science, composite materials, materials processing, characterization and engineering for advanced applications. The position will provide opportunities to collaborate with
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Engineering, Data Science, Applied Mathematics, or a closely related discipline. The doctoral degree must be completed before the proposed start date. Required Qualifications, Competencies, and Experience
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for analytical processing, such as data lakes, data warehouses, and lakehouses. Desirable requirements - Experience in developing and implementing data platforms; - Knowledge of data engineering tools and
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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both