73 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACEDONIA-RESEARCH-COMMITTEE" positions in Hong Kong
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sector and contribute to human health. Applications are invited for appointments as Project Specialist (Ref.: H01/2025/121) for innovative technology and product development projects specifically in
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) experience in Unity or Web development, digital avatar development and LLM-based solution. Applicants are invited to contact Dr Zackary P. T. Sin at telephone number 2766 7328 or via email at zackary-p-t.sin
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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Neural Networks (SNNs); (c) have strong proficiency in PyTorch programming and model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models
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, GeoAI models and related computational platforms; (b) acquire, process and manage large-scale spatial datasets for internal research, external collaborations, and open benchmark development; (c
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for the research project, define system architecture, set development priorities, manage timelines, and ensure the delivery of high-impact research outputs; b) Core System Research and Development: Lead the
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period: each for twenty-four months] Duties The appointees will assist the project leader in the research project – “Hong Kong operational robot collaborative project – development of enhanced vision
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other related disciplines; (b) experience in developing full-stack software by using Python; (c) experience in using OpenAI compatible APIs for LLM application development; (d) a good command of
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-time reinforcement learning assistants for immersive education”. He/She will be required to: (a) assist in the development of a 3D educational metaverse game, which involves creating AI materials and
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, diversity and scalability in data processing; (b) develop efficient training frameworks to support various stages of Large Language Models (LLM) development, including pre-training, post-training and