293 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Singapore
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics or Computer
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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synthetic biology, engineering of biology, to join our group at National University of Singapore for the engineering of microbes as biosensors for environmental pathogens detection. Our group @ NUS (https
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management systems, proliferation of energy efficient solutions, creation of a “car-lite” society, digitalization of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon
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international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal
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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description Conduct theoretical research in quantum information and quantum foundations, including quantum non
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to groom the next generation of leaders, thinkers, 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
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multicultural hub and a leading Asian center for quantum technologies. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL3654-CORHUN-036/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD
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opportunity to collaborate with and learn from other scholars and experts within the CIL Oceans Law and Policy Team, in a dynamic and supportive research environment. CIL supports both collaborative and
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large