39 mathematics-computer-science Fellowship positions at Nanyang Technological University
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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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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s
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Degree in Computer Science or Electrical Engineering from reputed universities, with at least 5 years research experience in related fields. Research and Comprehensive Skills: Independent and self
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Degree in Computer Science or Electrical Engineering from reputed universities, with at least 5-year research experience in related fields. Research and Comprehensive Skills: Independent and self-motivated
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives Good
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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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, Computational Science, Applied Mathematics, or a related field. Soft skills Critical thinking and problem-solving, Collaboration and teamwork, Good communication, Time management and self-motivation Hard skills
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving