76 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University
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Divinity School seeks to appoint an adjunct instructor to teach the course, “Spiritual Care in Psychedelic Settings” during the Spring 2026 semester (January 2026 to May 2026). This course will focus
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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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. Basic Qualifications Practitioner Fellows may come from a range of backgrounds, including diplomacy, journalism, private sector leadership, military, elected office, civil service, and civil society. We
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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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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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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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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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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