50 computer-science "The Forest Science and Technology Centre of Catalonia (CTFC)" research jobs in Singapore
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Research and develop a methodology/framework for 2D/3D object detection
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Responsible for performing quality assessment for 3D digital asset
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Job Description The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing
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Job Purpose The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly
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Job Description The Centre for Nature-based Climate Solutions at the National University of Singapore invites applications for a Research Assistant in Blue Carbon Science. Prior experience in
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: Isolating and maintaining microbe cultures. Assist with preparing microbial cultures for plant experiments Qualifications Bachelor’s Degree in Biological Sciences, Environmental Science, Microbiology
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: (1) be passionate about research; (2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline; (3) be an expert of chemical conversion of natural and synthetic
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Job Description The Natural Language Processing Group at the National University of Singapore invites applications for Senior Research Fellow in the Department of Computer Science, School
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of the project support. Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research
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, Computer Science or a related field. Proven experience in high-resolution model development, implementation and application. Strong experience with physical-based and machine learning methods in atmospheric science