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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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on technical matters. Key Competencies and Requirements: Doctoral/Master’s degree in computer science/EEE specializing in Learning Analytics (LA)/Machine Learning (ML) Skills in Learning Analytics (LA) / Machine
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researchers on the project Requirements: A degree in mechanical engineering or materials science Previous experience and solid knowledge with FEM Do FEM of the deformation of composites with temperature Verify
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with any other duties that are delegated by the PI or supervisors. Qualifications The successful applicant should: have a Bachelor’s degree in science-related field, nursing or equivalent; CRC experience
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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We are seeking multiple full-time Research Assistant(s) who will assist with quantitative data analysis in ongoing projects on the economics and demography of aging, pensions and retirement, as
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research stsaff will have the opportunity to be equipped with applied research skill sets
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in a dynamic academic setting. The Economics Program at NTU’s School of Social Sciences seeks a highly motivated postdoctoral research fellow specializing in econometrics and empirical macroeconomics
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and Computer Engineering Employee Referral Eligible: No Job requisition ID : 28367 Apply now