243 computer-science-programming-languages-"University-of-Bristol" Fellowship positions at Nanyang Technological University
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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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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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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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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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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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, Computer Science, or related field, with strong background in machine learning Publications in top-tier journals and/or conference presentations as first author Proficiency in AI programming languages
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is co-located with several other LKCMedicine research programmes, and it sits in the epicentre
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is co-located with several other LKCMedicine research programmes, and it sits in the epicentre
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental