114 parallel-programming-"EPIC" Fellowship positions at Nanyang Technological University in Singapore
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture
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project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and
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research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture
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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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, MRI, X-ray, pathological slides). Excellent programming, analytical, and research communication skills, with a track record of contributing to competitive research grant proposals. We regret that only
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to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere to deadlines We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy