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energy storage system or electrochemical system (Batteries) Encourage initiating activities on battery development, devising, and analytic process Experience in machine learning will be preferred
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly
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sustained, specialized effort that cannot be met by short-term or fractional support. Development of reproducible analytical pipelines and computational methods that can be shared with, adapted by, and
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attenuated centrin deleted Leishmania major parasites (LmCen-/-) using transcriptomic and metabolomic approaches. Learning Objectives: The opportunity to contribute on this project will allow you to acquire
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seek a highly motivated scientist with a MSc/Diploma in life sciences (e.g. biochemist, nutritionist, environmental sciences) or analytical chemistry or comparable. The applicant should have interest in
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, alignment, evaluation). Design multi-MLLM collaboration methods (knowledge transfer/distillation, federated learning). Build efficient training/benchmark pipelines and report results with clear metrics. Apply
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/ Materials Science/physics encourage initiating activities on battery development, devising, and analytic process experience on machine learning will be preferred Good oral and written communication skills
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and