380 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nanyang Technological University
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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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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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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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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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digital integrated circuits, utilizing deep learning techniques for better adaptability and productivity. The PACE team aims to advance side-channel and fault analysis techniques for hardware security
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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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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics
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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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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics