76 computer-programmer-"https:"-"FEMTO-ST"-"https:" Fellowship positions at National University of Singapore
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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resource requirements Development of research hypotheses Plan and perform the development of valuation framework and advanced analytical tools connecting stock market information to corporate information
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Electrolyser systems) Posting Start Date: 27/06/2025 Job Description: Job Description Research Fellow position in the Department of Materials Science and Engineering at National University of Singapore (NUS). With a strong...
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at once Communicating with stakeholders to understand business challenges and potential solutions Qualifications Doctorate degree in a quantitative discipline (eg. data science, computer
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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). Skill and experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially
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and Computer Engineering Employee Referral Eligible: No Job requisition ID : 28367 Apply now