14 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Postgraduate positions in Singapore
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-programmes/data-science. We are looking for a Research Assistant to work on biomedical problems using computational approaches. The role will focus on the creation of a computational pipeline for oncology. Key
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
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and teaching institution on security research in the Asia-Pacific region. The person will assist the Social Cohesion Research Programme with research and administrative duties. The work will cover areas
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an emphasis on technology, data science and the humanities. Professor Lim Kah Leong is a renowned scientist in the areas of neuroscience and mental health, particularly in the field of Parkinson’s Disease. With
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. (https://cde.nus.edu.sg/mse/staff/ming-zhao/ ; https://www.mingzhaogroup.com/) Qualifications • BS degree or higher in materials, chemistry, chemical engineering, physics, environmental engineering, or
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a research assistant. The role
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use by the localized linguistic and cultural conditions and impact could be further studied. This project attempts to study, with the aid of technology and AI, the wealth of multilingual and
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The School of Materials Science and Engineering (MSE) at Nanyang Technological University (NTU) has transformed into a global leader in Materials Engineering, offering cutting-edge education and
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Data Science, Computer Science, Biological Sciences or related field At least 1-2 years of relevant experience in machine learning model development, preferably involving biomedical signals or clinical