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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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magic-angle spinning experiments, multinuclear NMR, quadrupolar nuclei, or two-dimensional NMR methods, is highly desirable. Experience with computational methods such as density functional theory
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
Position Description We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal
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basis of the childhood brain tumor medulloblastoma. The Northcott Lab has established an internationally renowned track record in pediatric neuro-oncology, substantiated by numerous impactful publications
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the use of machine learning methods to model human cognition, as well as related ethical and epistemic issues. The department has an established strength in the philosophy of AI, and the associate will have
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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in scientific / numerical programming and data analysis excellent collaboration skills, with a proven ability to work effectively in a multidisciplinary team a keen, self-motivated interest in
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an initial 3–6 months period in the lab at its currentlocation in New York City. This temporary placement will provide an opportunity to receive hands-on training in the methods important for the research