10 parallel-programming-"LCC-CNRS" Fellowship positions at Hong Kong Polytechnic University
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- “Development of the adaptive landing and aerial manipulation technology based on the generalized parallel mechanism and artificial intelligence technology”. Qualifications Applicants should have a doctoral
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, or related quantitative research areas from a recognised research programme or an equivalent qualification, and must have no more than five years of post-qualification experience at the time of
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verification and/or formal methods; (c) excellent programming skills in Python and experience with modern AI frameworks (e.g., PyTorch), LLM ecosystems and agent development frameworks; and (d) strong
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discipline, and must have no more than five years of post-qualification experience at the time of application. Preference will be given to those with strong programming and modelling skills. Applicants
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, preference will be given to those with strong Python/programming and research skills, and experience in graphs/ontologies, machine learning, optimisation/control, time-series forecasting, BMS/HVAC, PV or ESS
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) have research interests in areas such as lifestyle medicine, AI usage patterns, digitally mediated program development implementation, and evaluation in Hong Kong and the Chinese Mainland context; (j
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or an equivalent qualification. Applicants should also have: (a) excellent programming skills, and good English and Chinese communication capabilities; and (b) basic understanding of finance and economics
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), Web3/smart contract security, and autonomous agent governance; and (b) automated testing, penetration testing, fuzzing, and developing security/testing tools using modern programming languages
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/smart contract security, and autonomous agent governance; and (b) automated testing, penetration testing, fuzzing, and developing security/testing tools using modern programming languages. Applicants
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segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute