762 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Harvard University
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Operative Dentistry. Members of the Endodontic Division teach and mentor predoctoral fellows, endodontic residents, and DMD students. Successful candidates should have a strong record and future promise in
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engagement. Stay up-to-date on trends, technologies, and media channels, and share learnings and recommendations with stakeholders to inform ongoing strategy and practice. Training, Standards, & Continuous
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architecture. Work with faculty chairs and the Marketing team to develop program learning objectives and descriptions, and to determine the characteristics of target audiences. Collaborate with and work in
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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Program Review, reporting to the Associate Dean of Undergraduate Education, Academic Programs and Policy, will have primary responsibility for assuring student learning and the success of all students in
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, education, and clinical excellence. Responsibilities include providing leadership as Clinical Director of Periodontology. The candidate will teach and mentor predoctoral and advanced graduate students in
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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may include—but are not limited to—AI-based grid operation and planning, reinforcement learning for distributed system coordination, electricity market design, pricing mechanisms for reliability and
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(PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in