318 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" positions in Hong Kong
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external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data
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Kong Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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-sci.hkust.edu.hk/) at the Hong Kong University of Science & Technology (HKUST) is seeking applications for multiple tenure-track and tenured positions in basic and translational research to address our mission in
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or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses
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structural biology; (2) artificial intelligence or computational-guided virological research; (3) immunity and immunopathology to viruses; (4) multiple-omics investigations of virus-induced host response
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understand the importance of educating the next generation of environmental leaders and researchers, influencing public policy, and shaping international agendas. We invite applications for multiple
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Job Description DEPARTMENT OF MANAGEMENT, MARKETING AND INFORMATION SYSTEMS Chair Professor / Professor / Associate Professor in OBHRM / Strategic Management (Multiple positions) (24250409) Job
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Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student mentorship
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple