220 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions in Hong Kong
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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. Requirements A PhD in Computer Science or related disciplines. Candidates should have an excellent proven record of research and teaching in Computer Science. Preference will be given to candidates with strong
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/ Mathematical Science. Duties The appointee will be required to: Teach and contribute to curriculum development at undergraduate and postgraduate levels; Supervise MPhil and PhD students; Engage in scholarly
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undergraduate and postgraduate programmes that provide interdisciplinary training in the study of Chinese history and culture. Currently, the Department offers PhD and MPhil programmes, a taught-master degree
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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution
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the QS World University Rankings by Subject 2025. The Department offers academic programmes at various levels, including PhD, MSC, BEng and BSc. The Department currently has about 80 faculty members
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, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received
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the first or second quarter of 2026 for 18 months, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should hold a PhD degree or equivalent in the areas