100 big-data-and-machine-learning-phd Fellowship positions at Hong Kong Polytechnic University
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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/she will be required to: (a) conduct high-quality research in the field
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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The appointees will assist the project leader in the research project - “Enhancing robotic learning with 3D multimodal large language models (MLLMs): methods and applications”. Qualifications Applicants
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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ammonia with high efficiency and on a large scale from N2-dissolved ionic liquids”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent
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– “Allocating resources with imperfect information: From cardinal to epistemic fairness”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral degree or an equivalent qualification
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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no