35 computer-science-programming-languages-"the"-"UCL"-"O.P"-"Prof" Fellowship positions at Nanyang Technological University
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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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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applies AI to tackle challenges in aquaculture and drug delivery, interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven research projects in
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. Job Requirements: Ph.D. in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Proficiency in programming languages such as C/C++ and Python. Independent, highly analytical
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record is as one reference Proficiency in programming tools (e.g., Python, MATLAB, or C++) for data processing and model development is preferred. Proficiency in English and good communication capabilities
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for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society. The CLIC program is seeking One full-time Research Fellow (with potential opportunities
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. Support the supervision of graduate students and research assistants involved in the project. Job Requirements: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a
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successful, support to build the portfolio towards a new Interdisciplinary Research Programme in tidal and other ocean energy resources. The Research Assistant / Research Fellow is to assist the ERI@N Program
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engineering, computer science, or related fields. At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope Advanced signal processing and programming skills
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low