248 computer-science-programming-languages-"University-of-Bristol" Fellowship positions at Nanyang Technological University
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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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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow to undertake a project to develop efficient theoretical, numerical and experimental
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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publications and presentations, and dissemination of the results Administrative work associated with the program of research as necessary Job Requirements: PhD degree in psychology, social sciences, or health
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) or with big, ambitious ideas that extend the lab’s focus. You will receive direct mentorship, generous support, and space to launch a scientific program you can carry with you into a future faculty role
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with
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, dynamics, robot modelling and control engineering Experience in mobile manipulators and industrial robots Programming languages/libraries: MATLAB, C++, Python, OpenCV Competent in mechanical design Entry
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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basis. Expertise in health informatics, particularly experience working with electronic health records (EHRs). Experience of analyzing large-scale longitudinal population data. Proficiency in programming