30 parallel-and-distributed-computing research jobs at Singapore Institute of Technology
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to examine the effects of the IMR Self-Management Programme for individuals experiencing major depressive disorders in Singapore. Key Responsibilities: Participate in and manage the research project with
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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research documentation, including technical reports, conference/journal papers, and research grant progress updates. Job Requirements: Ph.D. degree in Computer Science, Electrical/Electronic Engineering
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structural integrity and stress distribution of modular floating units under operational and extreme conditions. • Optimize design configurations to enhance performance and durability. 3. Stability and Mooring
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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, Safety and Health Regulations. • Assist in project resource requirements and managing student projects. Job Requirements: • Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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relevant experience in the electrical engineering industry and preferably is familiar with electrical power distribution system. • Prior knowledge on power system condition monitoring would be an advantage