60 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Hong Kong
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develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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applied skills and knowledge. As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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“expected output index” worldwide in Electrical and Electronic Engineering by Times Higher Education World University Rankings 2018. Duties Teach and supervise student projects at both undergraduate and
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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faculty positions on tenure-track. Assistant Professor (Computer Science) (25260312) The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels
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, the appointee will help co-supervise MPhil and PhD students, establish a cutting-edge research programme in computational chemistry and machine learning, and engage in various scholarly activities, including