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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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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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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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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility...
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the loop simulation are desirable Key Competencies Specialist knowledge relevant to the broad discipline of spacecraft attitude and orbit control. High competence in computer coding in Matlab, Python, C
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Requirements A PhD degree in computer or related programmes and have relevant competence in artificial intelligence (AI). Knowledge and experience in NeRF/Gaussian Splatting will be advantageous. Able to build
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people within (staff and PIs/co-PIs within the programme) and external to the university (industry partners and funding agencies). Self-directed learner who believes in continuous learning and development
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the project: 1. Computational Fluid Dynamics (CFD) Simulations: • Develop and implement CFD models to simulate the effects of mangroves, seagrass, and coral on wave attenuation. • Conduct parametric studies