18 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at Hong Kong Polytechnic University in Hong Kong
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the implementation of the cognitive and psychosocial modules of the Health Support Programme (HSP) and Train the Trainers (TTT) programme in the nine Sheltered Workshops/Integrated Vocational Rehabilitation Service
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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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The appointee will assist the project leader in the project – “Family-based financial literacy program”, a design project focused on developing toolkits for the program. He/She will be required to: (a) assist
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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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are designed for seasoned professionals who can blend deep technical expertise in systems programming with a strategic understanding of quantitative finance, driving the project from concept to a robust
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with programming experience are preferred. Applicants are invited to contact Prof. Si Chen at telephone number 3400 8461 or via email at sarah.chen@polyu.edu.hk for further information. Conditions of
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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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closely related discipline; (b) proven technical experience in programming (e.g., Python, Java, Scala. C++), GIS and spatial algorithms, Big Data and distributed computing, 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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) 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