175 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O.P" positions at Nanyang Technological University
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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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, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written
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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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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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to: Collaborate with colleagues to design and implement the centre’s research programme. Take a leading role in the development of research projects and programmes and in seeking and pursuing appropriate external
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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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Electronic Engineering, Computer Science or related field 1-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models Publication track record is
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Requirements: Bachelor’s Degree in computer science/engineering or related fields. Relevant knowledge and strong background in text processing and speech technologies, especially in depression detection and
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the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably Master in computer science or relevant field. Strong
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language