46 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship 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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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
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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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their appointment in a Harvard department of their choosing, but otherwise are expected to conduct independent research. They may not take courses for credit or teach more than one course per year, and they
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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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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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or other investigators interested in learning about research at the Center or partnering with the Center. Assist with course development at Harvard Chan and/or in ExecEd, HarvardX, or short courses. Aid in