644 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "UNIV" research jobs in Singapore
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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partners Organisation of meetings Coordinating with other team members Conduct literature reviews Assist in development of data collection pipeline in makerspaces Support participant screening, recruitment
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contribute to the design, execution, and interpretation of research projects • Perform computational analyses, including data processing, modelling, and interpretation of results • Contribute
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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handling protocols Assist in improving lab workflows, implementing process enhancements, and maintaining equipment Support basic data entry and sample documentation for research reports and databases
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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-quality experimental data and materials that support downstream research activities within the Aquapolis Programme Tranche 1 R&D Programme, an integrated initiative aimed at optimising Asian seabass