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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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verbal, written communication skills In-depth knowledge of deep learning, specifically VLM models, computer vision techniques (e.g., open vocabulary object detection, model distillation, VQA, test-time
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areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
personalized and adaptive AI assistance. Conduct usability studies and experimental analyses using quantitative and qualitative methodologies. Collaborate closely with AI, machine learning, and software
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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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LanguagesENGLISHLevelGood Additional Information Additional comments The full text of the call of proposal can be found at the following link: https://unipv.patisweb.it/page_tg/51302/concorsi-per - ricercatori.html
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/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception, adaptive control with reinforcement learning
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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | about 2 months ago
Position Description The Simons Collaboration on the Physics of Learning and Neural Computation is searching for postdoctoral fellows at Stanford to perform scientific research on AI, working in
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mental health problems. Play a central role in the Mental Health Learning Systems Project. Explore how the experiences of people using services and the staff delivering care can be better understood and
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the CLARA AI agent — bridging cutting-edge machine learning methods with empirical insights from the educational arm of the project. A central technical challenge guides this position: How can an LLM-based AI