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: Molecular biology, gene editing, cell culture. • Experience: At least 4 years of PhD-level research experience. More Information Location: Kent Ridge Campus Organization: Science Department : Pharmacy and
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Posting Details Title Information Assistantship Title Research Assistant Job Class Code 00095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate School 2
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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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PhD students or Master students). Requirements (MATHEMATICS position) Doctorate (PhD) in Informatics, Mathematics, or related. Knowledge about harmonic analysis, functional analysis, and/or numerical
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refresh page to watch video, or click here to open video) PhD Research Fellow in Algorithms There is a vacancy for a PhD Research Fellow in Algorithms at the Department of Informatics . The position is for
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
Requirements: Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields. An excellent track record
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tasks You are expected to contribute to leading-edge research in both theoretical and applied algorithms and algorithms engineering, as well as teaching of high international quality. As a PhD student in
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. Job Requirements: PhD in Mechanical Engineering, Aerospace Engineering, or Robotics. Experienced CAD user (SolidWorks or Fusion 360). Evidence (e.g. portfolio) of prototype development from concept
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transcriptome of the organisms (1 PDRA + 1 PhD student), which will be combined with geochemical data produce by this PDRA to inform computational modelling of biomineralisation processes (1 PDRA + 1 PhD student
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transcriptome of the organisms (1 PDRA + 1 PhD student), which will be combined with geochemical data produce by this PDRA to inform computational modelling of biomineralisation processes (1 PDRA + 1 PhD student