298 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Fellowship positions in Singapore
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. Experience with data-driven modelling, machine learning, or AI applications in energy systems is an advantage. Familiarity with modelling of energy networks, district cooling systems, or integrated urban
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and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and
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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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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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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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of marine geophysical survey and machine learning algorithms; Job Requirements: A Bachelor degree in geophysics or equivalent and A PhD degree in geophysics / geomechanics or equivalent from a recognized
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) Mammalian cell culture (experience with induced pluripotent stem cells and/or adult stem cells preferred) Machine learning and basic bioinformatics A proven solid research experience in the context of multi
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge systems neuroscience tools with the development of new AI methods to understand and