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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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candidate with a PhD degree in computer science, physical chemistry, chemical physics, theoretical physics, or a related field, with a strong background in training GNN-based ML predictive models (Equiformer
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undergraduate or PhD students. Applicants must hold a PhD in chemistry, physics, materials science, or a related field, with a focus on crystallography. To apply, submit a cover letter, a curriculum vitae that
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applications and impact in audio, communications, and music technology. - Develop theoretical models of wave propagation and hybrid methods that combine physical models with artificial intelligence techniques
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and the Department of Physics and Materials Science, such as seminars, colloquia, and summer schools. Your profile PhD in Theoretical Physics Excellent analytical and numerical skills Solid knowledge
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Research FieldPhysics » OpticsEducation LevelPhD or equivalent Specific Requirements PhD in Electrical Engineering or Physics or Materials Science. Experience on theoretical methods and numerical simulations
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independent Fellowship applications, PhD-student co-supervision. What we’re looking for * A PhD in physics/chemistry/materials science/engineering/a related discipline. * Experimental experience
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. In addition to these research tasks, you will also be assigned occasional teaching duties in one of the participating faculties. Where to apply Website https://www.academictransfer.com/en/jobs/363418
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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information
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, to studies of Higgs boson pair production. The Laboratoire des 2 Infinis - Toulouse (L2IT) is a laboratory created in 2020 to conduct research in fundamental physics with new numerical and theoretical