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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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optimization for monoclonal antibody discovery. Conduct mouse monoclonal antibody generation using hybridoma technology. Carry out antibody characterization (binding affinity, specificity, epitope mapping
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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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of their mechanisms, and hit-to-lead optimization. Key Responsibilities Perform recombineering in non-tuberculous mycobacteria. Conduct cell-based assays, microbiological studies, and genetic investigations. Lead mode
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- “Mobility resilience in rainy season: enhancing transport equity for seniors through barrier mitigation, adaptive station design, and paratransit system optimization.” Qualifications Applicants should have a
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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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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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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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using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions; (b) use AI algorithms to detect
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as