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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | 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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Supervise and mentor research associates, engineers, and PhD students working on the project Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies
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brain disorders such autism spectrum disorder and bipolar disorder, by utilizing recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing
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Education, AI, or HCI journals or conference proceedings, preferably in areas related to human-AI collaboration, game-based learning, problem-solving, learning analytics, or AI ethics Responsibilities
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different types of AI (generative and domain specific intelligent technologies) change
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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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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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practitioner outputs on social innovation and entrepreneurship, while contributing to the wider Skoll Centre community through collaboration, learning programmes, public engagement, thought leadership and key
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and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will