445 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Singapore
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Job Description Job Alerts Link Apply now Research Analyst/ Associate/ Fellow in Machine Learning and Artificial Intelligence (ML/AI) University-Level Unit: Sustainable and Green Finance Institute
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background in earthquake monitoring. The successful candidate will lead and contribute to developing a machine-learning powered earthquake monitoring and early warning system. The role involves both
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. Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions. Develop optimization and control
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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publications in peer-reviewed journals, and a desire to work collaboratively in a multidisciplinary, international team. The position will be based in the Urban Climate Lab (http://www.nusurbanclimate.com
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and
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to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies