253 machine-learning-"https:"-"https:"-"https:"-"Institut-Curie---Research-Center" positions at Hong Kong Polytechnic University
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Information Technology Services Office Assistant Manager (Teaching & Learning Support) (Ref. 260305006) Duties The appointee will work in the User Support Services Section and will be required
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Service-Learning and Leadership Office Service-Learning Officer (Temporary Appointment) (Ref. 251204014) [Appointment period: six months] Duties The appointee will be required to: (a) plan and
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Service-Learning and Leadership Office Assistant Service-Learning Officer (Research Support) (Temporary Appointment) (Ref. 251208010) [Appointment period: twelve months initially, with possibility
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Service-Learning and Leadership Office Service-Learning Manager (Academic Development & Evaluation) (Temporary Appointment) (Ref. 260203002) [Appointment period: five months] Duties The appointee
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 260305005-IE) To propel PolyU to global leadership in the AI era
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 241030001-IE) This new Faculty of Computer and Mathematical Sciences
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any of the research areas in (i) Spatial data analysis, particularly with gridded (raster) or geo-referenced datasets; (ii) Quantitative research methods (e.g., regression analysis, machine learning
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are obtained from 2007 onwards) and Mathematics; or a combination of results in five HKDSE subjects of Level 2 in New Senior Secondary subjects / “Attained” in Applied Learning subjects / Grade E in other
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The appointee will be required to: (a) provide general administrative and clerical support to the Department’s academic postgraduate programmes, as well as teaching & learning matters; (b) assist in day-to
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large