2,508 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"FCiências" Fellowship positions
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See admission
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, School of Cybernetics, and School of Engineering, supported by the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at ANU. We are a
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. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian This joint research project is between Nanyang Technological University
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To be admitted to the PhD programme, applicants must hold a bachelor’s and master’s degree (120 ECTS), or equivalent, in a relevant social science discipline and/or history. Applicants with degrees in
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on programme progress for a variety of audiences. Regularly communicate with the CHILD management team and stakeholders, internal and external (e.g., relevant Government Ministries). Qualifications
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Regional Development Fund (ERDF) via the COMPETE2030 - PITD (Innovation and Digital Transition Programme), under the following conditions: Scientific Area: Chemical and Biological Engineering, Biotechnology