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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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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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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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and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will
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Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on a novel urban intelligence
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learning and Generative AI. Produce publications in top conferences and journals. Offer guidance and assistance to students involved in the project. Collaborate with industrial and academic partners. Perform
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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, particularly robotic arms. Familiarity with human-robot interaction and reinforcement learning is a plus. Demonstrated ability to conduct independent research and contribute to collaborative projects. We regret
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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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of computational biology, artificial intelligence, statistical genomics and cancer research within a collaborative and internationally competitive research environment. Key Responsibilities Computational Genomics