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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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well as experience in applying deep learning and machine learning algorithms for pathogen identification, drug target prediction, antimicrobial drug discovery, and/or protein-protein interaction studies. They should
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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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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) develop and distribute comprehensive learning materials to the students; (b) co-deliver software (CLO 3D) instruction and provide expert support; (c) analyse data and assist in evaluating
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/ Digital forensics; Algorithms. Supervise final year projects and capstone projects, provide mentorship and academic guidance to students; Collaborate with colleagues to develop or enhance the curriculum
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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). Teaching: The teaching load will be three courses per year, distributed according to the needs of the Department and upon mutual agreement. English will be the language of instruction. The appointee may be