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Field
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Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
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for African Studies: health. The candidate will collaborate with the Medical School. He /She has to be able to teach in English medical ethics. Responsabilités et taches prévues / Responsibilities and tasks
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internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 May 2026 - 00:00 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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environment, to assist trainees, and present their work in shared lab meetings and external meetings. Highly motivated individuals holding a PhD degree, preferably in virology, are encouraged to apply. The lab
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E-mail didier.josselin@cnrs.fr Requirements Research FieldGeographyEducation LevelPhD or equivalent Skills/Qualifications • PhD degree required • Strong interest in transport and mobility issues
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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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. The concrete tasks will be agreed upon with the supervisors, based on the candidate’s background and preferences. Task 1: Synthesis of quantum circuits. We intend to apply reinforcement learning. This task will
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partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major