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the project leader in the research project – “Turning dust to gold: Reliable data transfer framework for LoRaWAN”. The appointees will be required to: (a) develop innovative solutions to improve
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models”. They will be required to: (a) conduct literature reviews; (b) assist in data collection, pre-processing, and analysis; (c) support platform deployment and algorithmic development; (d
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the project leader in the research project - “Nonlinear conic programming: Theory, algorithms and software”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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) write code and conduct research on causal reasoning, bias mitigation and interpretability in Large Language Models (LLM); (b) design and implement algorithms or frameworks for enhancing
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machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime transport”. Qualifications Applicants should have: (a) an honours degree, preferably in mathematics, logistics
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assist the project leader in the research project - “Enabling bulk data transfers for Low-Power Wide-Area Networks”. He/She will be required to: (a) develop innovative solutions to improve
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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the research project - “Joint optimization of train scheduling, flexible train composition, and seat allocation with extra-long trains for high-speed railway corridors”. Qualifications Applicants should have a
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Department of Computing Part-time Research Assistant (Ref. 251112006) [Appointment period: six months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess