254 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at National University of Singapore
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candidates will be part of a multi- disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This specific role will provide you with a unique
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• Experience deploying, testing, and iteratively improving prototypes through user studies • Ability to analyze user study data and translate findings into system improvements • Strong problem-solving
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with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including
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applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its
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to the following: - Support research in sero-surveillance and mucosal immunity of viral pathogens with a major focus on laboratory work and some minor bioinformatic analyses to generate high-quality research data
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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possess strong interpersonal communications skills with excellent written, oral communication and computer skills. Perform experiments with live laboratory mice, including administering treatments
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the APIs or communication layers for the standalone program. Troubleshooting: Assisting with data exchange between the optimization engine and the Warehouse Control System (WCS). Compatibility: Ensuring
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(Senior) or Research Associate to join our team at CARE. This role offers an excellent opportunity to gain hands-on experience in project management, quantitative research, data analysis, and scientific