26 programming-"Multiple"-"U"-"O.P"-"Humboldt-Stiftung-Foundation"-"UCL" 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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- “Investigating the role of variability in written and spoken Chinese: learning Chinese characters using multiple fonts, adapting to regional varieties of accented Mandarin speech”. He/She will be required to: (a
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) Country Hong Kong Application Deadline 15 Mar 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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and 33rd in Times Higher Education World University Rankings 2026. In recent years, the University was ranked multiple times as the most international University in the world. Home to ten disciplinary
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) Country Hong Kong Application Deadline 25 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Professors/Associate Professors/Assistant Professors, Department of Computer Science and Engineering
) Country Hong Kong Application Deadline 31 Jan 2026 - 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
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Kong Application Deadline 14 Dec 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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. Qualifications a) Education: Ph.D. in Automation, Industrial Engineering, Systems Engineering, Computer Science, or a closely related field. b) Technical Skills: Strong programming proficiency is required. c
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533408 Work type: Full-time Department: Faculty
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. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process