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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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proposed mentors from current faculty associated with the Kempner Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard. A research proposal of no
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in exploring them. Basic data preprocessing, feature engineering, and model
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projects. Within LRS, we value continually learning. The Collections Coordinator will be expected to continually pursue new areas for learning related to this role and use newly gained skills and knowledge
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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experience Additional Qualifications and Skills: Master’s degree in Higher Education or related management field preferred Advanced computer skills, specifically related to student databases and office
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partner relationship and oversee the academic grant process for technology platforms (e.g., AWS, Microsoft Azure) to support technical courses and student learning experiences. Conduct quality reviews
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staff. PHYSICAL REQUIREMENTS The position involves frequent use of a computer, keyboard and mouse. This position requires extensive domestic travel and occasional international travel. The physical
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, video conference technologies, and related computer systems and programs. May be asked to work evening hours/or weekends, or holidays as needed Mailroom backup when needed. This position involves