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Duke Kunshan University Position ID: DukeKunshanUniv -25SNASCOMPSCI [#29608] Position Title: Position Location: Kunshan, Suzhou 215316, China [map ] Subject Areas: Computer Science / Algorithms
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and statistics. Qualifications: Excellent academic background, PhD degree, undergraduate and graduate studies should be carried out at renowned universities. Capable of continuously publishing high
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background, PhD degree, undergraduate and graduate studies should be carried out at renowned universities. Capable of continuously publishing high-impact research articles on important or top journals
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statistics. Qualifications: Excellent academic background, PhD degree, undergraduate and graduate studies should be carried out at renowned universities. Capable of continuously publishing high-impact research
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. Teaching and research areas: All areas in mathematics and statistics, and cross-disciplinary research areas related to mathematics and statistics. Qualifications: Excellent academic background, PhD degree
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• University housing or housing subsidy • Light teaching load, adequate facilities, dedicated office space, and strong research support Applicants must hold a PhD and should have outstanding accomplishments in
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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ERDI. Essential Qualifications/Experience A PhD in Computer Science, Data Science, Artificial Intelligence, and, ideally, a PgCert HE or equivalent. Ideally, a few years of teaching/research experience
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-related tasks assigned by the Dean or Director of ERDI. Essential Qualifications/Experience A PhD in computer science, data science, artificial intelligence, and, ideally, a PgCert HE or equivalent. Ideally
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Fuel cell/flow battery Waste water treatment Energy economics, policy and security, environmental and social impacts of energy technologies Implanted Devices Requirement Applicants must have a PhD degree