336 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Nanyang Technological University
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. Support initiatives related to continuous learning and professional development within NTU. Manage and update departmental website content to ensure accuracy and relevance. Coordinate marketing and
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integrated into the development of educational technologies, for example Intelligent Tutoring Systems (ITSs), AI for education (AIED) applications could provide real-time error detection and personalized
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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. We are looking for a research engineer to work on multimodal foundation model development. The role will
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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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internal systems and external sources to enable a single, trusted view of information Support the development of next-generation data products, including advanced analytics and self-service BI capabilities
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electrical characterization for developing diamond-based semiconductor devices for next-generation defense electronics. Key Responsibilities: Lead the development and optimization of surface charge transfer
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Proven experience in systems integration and API development (REST, gRPC, MQTT). Familiarity with IoT and smart metering protocols, SCADA/DERMS, and energy management systems. Knowledge of blockchain
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initiatives related to physics education and demonstration development. Key Responsibilities Develop and maintain a physics lecture demonstration system and booking platform. Design, build, and document
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research and development on vector
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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks