756 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at National University of Singapore
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are seeking a highly motivated and talented Research Fellow
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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research and integrates cutting-edge technology, multidisciplinary approaches, and strong clinical collaborations to achieve groundbreaking discoveries. Our work spans the biological, computational, and
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environments. • Support of research computing environments including provisioning and import/export of data. • Perform Database Administration tasks. • Troubleshooting of issues reported in deployed applications
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills
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into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office
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. Experience in project coordination and change management. (Preferred) Exposure to data analysis using Python, R, or Geographic Information System (GIS) tools, and/or cloud computing solutions. More Information
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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student engagement, and supporting the planning and delivery of collaborative design projects with external partners. The RA will also assist in organising the Lab’s public programmes—including exhibitions
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the