17 combinatorial-optimization Fellowship positions at National University of Singapore
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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems
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fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance
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, metabolomics, and immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis
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effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore Key Responsibilities • Conduct multi
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. Assist PI to facilitate research team development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction
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Design and perform genome editing experiments in a range of human cell types, including immortalized lines, primary cells, and organoid cultures. Develop and optimize protocols to capture DNA cleavage
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. Assist PI to facilitate research team development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction
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Fellow in Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance