244 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Nanyang Technological University
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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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Performing CO2 adsorption and mixed-gas separation performances Job Requirements: PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
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reports and presentations for meetings, progress reports and conferences Any other tasks as requested by the Investigator Job Requirements: PhD in engineering or relevant discipline Demonstrated strong
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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currently drafted manuscripts for publication Draft, submit and revise manuscript on metagenomic analysis for publication Job Requirements: PhD in related field Hands-on experience in marine field work
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forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes. The project bridges applied geophysics and computational mechanics, and is jointly developed with
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recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. Prior to submitting their application, postdoctoral applicants
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent