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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in communication theory
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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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conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and full-time
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
engineering. Required Qualifications: The ideal candidate will hold a PhD in Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the
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year, with the possibility of extension based on performance and research output. How to Apply: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees
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PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be