315 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Fellowship positions in Singapore
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information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion for global
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scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/spms Join the research group of Pinaki Sengupta at SPMS. We are seeking a Research Fellow to contribute to a project
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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of this joint laboratory is towards the development of innovative nanotechnologies and nanomaterials for various electronic and photonic applications. For more details, please view https://www.ntu.edu.sg/cintra
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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activities in our department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be
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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations