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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge
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systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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interest in experimental research and collaborate with applied mathematicians closely. PhD holders with a solid publication record and aims for an academic career are encouraged to apply. For consideration
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) 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, Computer
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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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must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge research in Representation Theory or Non-Associative Algebras, and experience
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phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment would be for two years with the possibility of an additional year. The successful