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Sciences) UPM: PhD - Food Science/Food Science and Technology (Nutritional, Domestic and Food Sciences) Female applicants and candidates from less privileged regions or groups are especially encouraged
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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Application deadline: All year round Research theme: Chemical engineering, Applied physics UK only This 3.5 year PhD project is fully funded and home students, and EU students with settled status
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also need to submit a strong research proposal in areas including, but not limited to: Asset pricing and investment Empirical asset pricing and performance evaluation Investment technology, ethics and
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. We are offering a PhD Position (f/m/d
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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, who are working on related projects. Your competencies A relevant educational background within Chemical Engineering, Chemistry, Condensed Matter Physics, Materials Science or similar is necessary
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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designers and engineers with guidance on how to integrate advanced AM capabilities in a way that supports sustainable design, smart product lifecycles, and future-ready manufacturing systems. The project