832 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Cornell University
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. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation
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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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attention to detail. Ability to work independently, take initiative, and collaborate effectively as part of a team. Excellent written and verbal communication skills. Proficiency in common computer software
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traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include
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signals from large, heterogenous observational data. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis
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technical instruction to students on the use of design tools and programs in coordination with course requirements and learning outcomes as determined by the professorial faculty. Review CAD and 3D drawings
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, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an environment of respect, and feel
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CALS- Program/Extension Aide II- Water Resource Technician- Biological and Environmental Engineering
experiences can learn, innovate, and work in an environment of respect, and feel empowered to engage in any community conversation. As a member of the Cornell University community, it is important to recognize
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communication skills. Capable of adapting to the needs of a rapidly changing research environment. Demonstrated ability to learn new skills in different situations. Experience using electronic test equipment
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the training, coaching, and mentoring of college students in an experiential learning environment. Must have good written and verbal communication skills and have a solid grasp of computer skills, ideally with