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([email protected] ) in a multidisciplinary environment spanning physical metallurgy, advanced characterisation, computational modelling and green ironmaking. Project Details Start: 2027, flexible by
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PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods Berlin Division 8.4: Acoustic and
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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effectively work with sponsors and stakeholders Minimum Education and Experience Ph.D. or equivalent terminal degree in Electrical Engineering, Microelectronic Engineering, Photonic Engineering, Physics
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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mathematics, computational biology or similar. The successful candidate will have excellent skills in theoretical physics, in particular statistical physics, dynamical systems and stochastic processes, together
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Mississauga