261 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Harvard University
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. Must be able to multi-task and perform duties with a high degree of speed, accuracy, and attention to detail. Must be proficient in writing business correspondence and have strong computer skills. Must
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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is essential to Harvard's academic mission of pursuing excellence in teaching, learning, and research. CCL seeks to foster a culture of mutual respect and full participation for all members
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randomized control trials, value-added models, instrumental variables, synthetic controls, Bayesian estimation, and/or machine learning, is a plus. Ability to teach, support, and/or train others in analysis
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protocols, which involves conducting literature reviews and eliciting required data elements Understanding of and experience with quantitative methods (simulation modeling, optimization, and machine learning
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stations as needed. Cleans, sanitizes and maintains soft-serve machine ensuring all local regulations are adhered to. Records temperature of soft-serve machine. Sweeps, mops or vacuums floors in serving and
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where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
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and implementing commercialization plans for technologies in the physical sciences, engineering, applied, and computer sciences. This entails assessing the commercial potential and market opportunities
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., word-processing, spreadsheets, databases), internet applications, electronic mail/calendaring, etc. Ability to access and modify data in Computer-Aided Design (CAD) systems including AutoCAD Familiarity
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environment. Must possess excellent written and verbal communication skills. Solid computer skills such as proficiency with Microsoft Office; intermediate to advanced Excel skills required. Demonstrated