18 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions at Hong Kong Polytechnic University in Hong Kong
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initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research projects - “Age-friendly business recognition and capacity building programme
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- “Programme planning and development for Doctor of Nursing”. He/She will be required to: (a) assist in the planning and development of the new programme; (b) conduct research and benchmarking on similar
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one programming language; (c) be familiar with transportation management, AI techniques and game theory; and (d) be interested in LLMs, mobility and delivery services. Applicants are invited
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/relevant work experience; and (b) be proficient in event-based computer vision and neuromorphic computing models, as well as in PyTorch programming and model development for SNNs. Preference will be given
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education programme”. He/She will be required to: (a) assist in recruitment of subjects, interviewing and conducting assessments at the University; (b) organise virtual reality (VR)-based interventions
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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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, the Head of Unit or their delegates. Qualifications Applicants should have: (a) a doctoral degree in Programming or an equivalent qualification and must have no more than five years of post-qualification
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, independent and/or collaborative research programs focusing on innovative tumor immunotherapeutics, with particular emphasis on characterising anti-tumor T cells elicited by various approaches, including cancer
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knowledge of Application Programming Interface (API) of large language models/multimodal large models. Applicants are invited to contact Prof. Henry Duh via email at henry.duh@polyu.edu.hk for further
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C