9 algorithms-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Harvard University
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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between historical methods underpinning modern data science, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3
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, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3 will engage in research projects spanning Business Model
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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protein expression in cells from tissues of women at high risk for cancer, and to identify differences in tumor responses to cancer therapies. Using biological knowledge, identify candidate cell
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact. Complete other responsibilities as assigned. Qualifications Basic Qualifications: Minimum of seven
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problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description Professor Goel’s Computational Policy Lab at the Shorenstein Center at Harvard