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fields and an interest in learning more about physical cosmology are also strongly encouraged to apply. Our group is working on a diverse set of problems across both theory, simulations, and observation
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gravity/quantum cosmology Quantum Computing Quantum Information Science Quantum Condensed Matter Theory Appl Deadline: 2025/11/01 11:59PM Description: Apply Description The Stanford-SLAC Quantum Initiative
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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information about the study, utilize the following references: https://www.ahajournals.org/doi/10.1161/atvb.39.suppl_1.266 (link is external) https://www.ahajournals.org/doi/10.1161/atvb.39.suppl_1.446 (link is
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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passionate about building high-quality neuroscience experiments and data systems in a highly interdisciplinary environment, we encourage you to apply. You will work closely with teams led by Andreas Tolias
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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about the effort to eliminate lead chromate adulteration of turmeric in Bangladesh . Project Unleaded is based at the Stanford Center for Human and Planetary Health, an interdisciplinary Center at the
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, read more about the effort to eliminate lead chromate adulteration of turmeric in Bangladesh . Project Unleaded is based at the Stanford Center for Human and Planetary Health, an interdisciplinary Center