1,439 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Singapore
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experience with machine learning is a plus. Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and
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efficiency by learning from and collaborating with other clinical trial networks. In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its
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to machine learning, process design, mass balance, cost analysis, and life-cycle-analysis preferred Industrial experience in scaling-up design and productization preferred Good team-player, good communication
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately and will continue until the position is filled
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transformation for analytics and machine-learning models. Ensure scalability, security, version control, and documentation of all systems. Build and maintain RESTful APIs or equivalent for interfacing with other
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relevant to machine learning, process design, mass balance, cost analysis, and life-cycle-analysis preferred Industrial experience in scaling-up design and productization preferred Good team-player, good
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immunology. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and ageing and have multiple national and
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Lead will play a key role in shaping how technology – especially generative AI – transforms teaching and learning at NUS and beyond. This role combines pedagogical expertise, product thinking, and team
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technical problem-solving impact. Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. Contribute to knowledge