135 post-doc-image-processing Fellowship positions at Nanyang Technological University
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the following tasks: Development of new large language models for process modeling Development of new decision-making algorithms Provide regular project updates to principal investigator and funding agency Report
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for energy and catalyst, AI-assisted material design/screening, and the green flow processes/reactor design and understanding. For more details, please view https://www.ntu.edu.sg/mse/research. We are looking
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Physics or a relevant discipline from a well-established university or institution The candidate should also have at least 4 years of successful post-doctoral experiences in laser cooling of atoms or
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and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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background. The cohort has completed recruitment of >80,000 participants at the point of this posting. With comprehensive behavioral, phenotypic, and multi-omic data, and electronic health record linkage
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of diverse ethnic background. The cohort has completed recruitment of >80,000 participants at the point of this posting. With comprehensive behavioral, phenotypic, and multi-omic data, and electronic health