72 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Harvard University
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. in electrical engineering, applied mathematics, or related field. Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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and scalable synthesis. · Ability to think critically and communicate effectively, design and execute experiments independently, and learn new techniques quickly. · Effective writing skills
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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record in fundraising, strategic planning, and organizational leadership. They will be expected to teach and lead housing-related activities at the GSD. Candidates must have a background in urban planning
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alongside other scientists in the Lichtman Lab and the Neurotechnology Core Facility. They will have the full intellectual support of highly experienced SEM microscopists, engineers, computer scientists, and
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. RESPONSIBILITIES: The Visiting Fellow is expected to reside in the Cambridge area during the appointment term and teach one course on Japanese politics, political economy, or international relations, either in
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MPlus. Acquires Specialized Training. Attends trainings and skill development workshops as necessary to acquire new statistical skills. Reporting Results. Submits periodic reports of project status
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on its tradition of excellence to train future leaders in the field. Housed within the Department of Social and Behavioral Sciences, our Center provides academic, research, and service-learning
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and physics-informed learning algorithms for scalable energy management and control Engagement with industry stakeholders to guide practical implementation and scale-up strategies Ideal candidates will