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, machine learning, simulation, game theory, and a wide array of applications such as health care, e-commerce, supply chains, scheduling, manufacturing, transportation systems, financial engineering
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work plan. They may be pursued individually or in combination, and we welcome other creative and strategic approaches. Statistical or machine-learning approaches that estimate abundance, density, or
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bioinformatics, machine learning, or other relevant technologies. Strong abilities in grant writing and securing research funding. Excellent oral and written communication skills for effective
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experimental or theoretical perspectives including computational or machine learning. The successful applicant can expect a highly competitive level of support for the start-up of their research program
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learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning, HCI and education research. Research Role Research themes
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sector partners. The candidate should have a background in bringing OR methodologies (including AI and machine learning) to bear on real-world operational problems. The position will also entail
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-crossover analyses, and have a promising publication record. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a
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to qualifications and engineering school norms. Cornell ORIE is a diverse group of high-quality researchers and educators interested in probability, optimization, statistics, machine learning
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limited to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum
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educators interested in probability, optimization, statistics, machine learning, simulation, game theory, and a wide array of applications such as health care, e-commerce, supply chains, scheduling