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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and
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solutions. Experience in co-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages. Good publication track record in peer-reviewed
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engineering; systems engineering and/or computer science); human-machine interaction (human factors engineering; computer science); other). PhD must be awarded no more than four years prior to the effective
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-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
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/intervention of epileptic seizures. The candidate will have the opportunity to co-supervise incoming PhD students to gain mentorship experience. As a member of a newly founded team, the candidate will have the
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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Education and Qualifications: PhD in Aerospace or Mechanical Engineering- Computational Aeroacoustics Required skills, knowledge, abilities: Experience in Computational Fluid Dynamics. Computational
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of voluntary actions. The postdoctoral fellow will work with researchers, engineers and technicians plus a PhD student, and will be expected to survey the literature, propose hypotheses and experiments
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through conferences and committee participation. Mentor graduate and undergraduate students. Qualifications PhD in Experimental Particle or Astroparticle Physics. A well-qualified candidate for
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety