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Computer Science. Candidates should apply via the SU Job Opps listing: https://www.sujobopps.com/postings/104681 Qualifications: Doctoral degree in Computer Science, Computer Engineering, Physics, or
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Sofia University "St. Kliment Ohridski" | Santa Sofía, Coahuila de Zaragoza | Mexico | about 2 months ago
areas: behavior change technology, consumer influence, data science, artificial intelligence, computational modeling, reasoning and knowledge representation, digital communications, UX. • Programming in
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probability, risk measurement, stochastic modeling, data science, and the broader mathematical and computational sciences. Preference will be given to candidates who are willing to acquire, or already possess
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, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science
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within the team. Applicants should fulfil the following requirements: a Master’s degree in a relevant discipline within computer engineering or computational science, such as data science, artificial
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mass-balance approaches to more advanced computational models; and Related topics in indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled
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undergraduate research assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related
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position in Physics and Astronomy will work at the intersection of physics, astrophysics, biotechnology, materials science, computational and experimental modeling, and artificial intelligence (AI
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intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges/engineering/research . Science: All areas of natural
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graph theory. Computational methods are central; the team operates a 500‑core cluster. We both compete with and leverage AI; see: https://www.aalto.fi/en/news/researcher-cracks-new-kissing-number-bounds