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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and rehabilitation. The successful applicant will have the following technical experience in: PhD degree in
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routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated
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in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or a related field. Excellent analytical skills are required. Prior
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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rolling basis until the position is filled. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms
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postdoctoral fellows and graduate students. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have at
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expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment
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development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae
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?p=MTH-26-01 . JOB QUALIFICATIONS: All candidates must hold a PhD in Mathematics or Applied Mathematics and have experience in North American-style education. Applicants should demonstrate a solid and