2,134 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Singapore
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The Programme Manager is responsible for overseeing and managing the Centre’s research and innovation programmes, ensuring delivery and success. As a recognised subject matter specialist, the role
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We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our
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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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The Molecular Breeding Laboratory at the Lee Hiok Kwee Functional Genomics Laboratories, Department of Biological Sciences led by Associate Professor Chew Fook Tim, is currently looking for TWO
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Cryptography program. The program and curriculum structure can be found on Master of Science in Cybersecurity - Applied Cryptography | NTU Singapore . The preferred candidate should have a proven track record in
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The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research
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Job Description Job Alerts Link Apply now Research Assistant (Biological Sciences) University-Level Unit: Science Faculty/Department-Level Unit: Biological Sciences Employee Category: Research Staff
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The Research Fellow will lead the development of advanced co-culture tumour models that integrate cancer-associated fibroblast (CAF) heterogeneity, cancer cells, and immune cells using biomaterials and microfluidic platforms. He/ She will also oversee and mentor graduate and undergraduate...
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(Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field. • Relevant
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning