465 computer-science-intern "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs in Singapore
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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high-quality journals in areas that are related to the research. The candidate should demonstrate excellent communication skills and have a strong passion and commitment to science. The candidate will
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collaborators. Mentor junior colleagues and students. Write, present, and publish research findings in peer-reviewed journals. Knowledge and Experience Requirements: PhD degree in statistics, computer sciences
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international research partners, including leading Danish universities, on advanced modelling of energy systems and cooling technologies. Prepare technical reports, scientific publications, and presentations
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international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting and reporting of experimental results and/or research
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and Electronic Engineering, Nanyang Technological University. Key Responsibilities: Establish a theoretical framework to study the charge generation and transport in tribovoltaic processes using
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-oncology imaging and engineering, nucleic acids nanotechnology, computational biomedical imaging. We are seeking a person with preferred experience in cancer immunology, immune engineering, biomedical
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assist with administrative work as required. The successful candidate should: Possess a PhD degree in international political economy, international relations, political science, economics, or related
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. This position is ideal for candidates who have recently completed their doctoral training and are seeking to establish themselves as independent researchers in infectious disease modelling, health