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, epidemiology, psychology, medicine, and data science. We have conducted research using accelerometers, wearable activity trackers, ecological momentary assessment, and digital phenotyping approaches to better
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Ph.D. in Physics, Electrical Engineering, Applied Physics, Quantum Technology or a closely related field Strong technical expertise in at least two or more of the following areas: RF/microwave
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at the Centre for Biomedical Data Science (CBDS), Duke-NUS Medical School. The selected candidate will engage in a variety of research activities centered on the development and application of systems genetics
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To lead academic research on cognition in study cohorts, conduct data analysis and write scientific manuscripts and grant applications. To provide supervision to junior staff in academic and non
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• Manage study operations 2) Research analysis and evaluation • Analyse qualitative and quantitative data (mixed methods) and synthesise findings into clear design/engineering recommendations
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science, climate science, hydroclimate science, hydrology, environmental science, geography, data science, artificial intelligence, computer science, or another related discipline. Have strong research
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Research Fellow (Robotics & System Development) Required Qualifications PhD in Mechanical, Mechatronics, Robotics, Aerospace, Electrical Engineering, or related disciplines. Key Responsibilities
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an emphasis on technology, data science and the humanities. We are seeking to hire a highly motivated Research Fellow to advance AI-driven multi-omics research for precision medicine and healthy aging. The role
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., Findable, Accessible, Interoperable and Reusable), prepare data and processes to enable linkage and secondary use and generate new insights from use cases through data linkage with other datasets on TRUST
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. The successful candidate will work closely with the PI and research team to lead and support research activities across data management, study coordination, statistical analysis, manuscript preparation, grant