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- “From waste tires to value-added products: novel valorization process design, simulation, optimization and analysis”. Qualifications Applicants should: (a) have a doctoral degree or an equivalent
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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
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recovery in the event of failures; (b) design and develop an efficient parameter and optimiser compression algorithm for the checkpointing process during model training; and (c) perform any other
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operation of computer systems; (b) assist in the implementation of system upgrading and migrations; (c) provide technical and administrative support in data collection, data analysis, filing and system
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the Senior Vice President (Research and Innovation) [SVP(RI)] in the daily operation; (b) assist in providing secretarial support to committees; (c) organise meetings and coordinate visits/events; (d
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, operation, development and quality assurance of academic and research programmes; (c) liaise with academic units, central administrative units, stakeholders and students in handling academic programmes and
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programmes; (g) support workflow optimisation and productivity enhancement for the Unit; (h) provide administrative support to the daily operation of the General Office of the Unit; and (i) perform
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project - “Research on advanced extrusion process for stiffened wide-thin panel and curved tubular profile”. Qualifications Applicants should have a doctoral degree plus substantial postdoctoral research
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Psychology, Cognitive Neuroscience or other related disciplines; (b) be proficient in computer programming, e.g. Matlab and R; (c) have a good command of both written and spoken English; and (d) have
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the research project - “Investigating social psychological processes in the context of management”. He/She will be required to work at the intersection of social psychology and management, using knowledge