129 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs at Cornell University in United States
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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tenants at or below the poverty line, and tenants unable to be served by Legal Assistance of Western New York (including people in the U.S. without status). Conduct affirmative outreach to service providers
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. This sponsored research project includes collaborators from institutions across the U.S. to examine 10 proposed solar projects to determine how solar siting processes can be accelerated while reducing community
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions
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Associates will teach one seminar per year, which is one section of SHUM 2750 Introduction to the Humanities in the spring term. As well, we expect each to supervise the one-credit course SHUM 4750 for guiding
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and as a part of a collaborative team Values mentorship and training Orientation towards learning How to Apply Please send your application to Tara Fischer at tdf45@cornell.edu . Your application should
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. Explore how we are tackling critical challenges at the forefront of biology and medicine, and shaping a healthier, more sustainable future for all. Learn more about the Weill Institute’s groundbreaking
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disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic
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conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status