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California State University, San Bernardino | San Bernardino, California | United States | 3 days ago
. Serve as liaison between the College, Financial Aid, and University Advancement related to scholarships and donor-funded awards. Other duties as assigned. Minimum Qualifications: PhD - Earned terminal
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Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We’re the state’s premier public urban research university with more than 100 in
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closely related areas, commencing Fall 2026. ROLE of the POSITION This position is tenure-track and holds a 9-month academic obligation.The successful candidate is expected to teach effectively
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quality educational programs, meaningful experiential learning opportunities and the development of scientific and intellectual inquiry for the promotion of health equity in the Rio Grande Valley and beyond
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no.: 5213 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then
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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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physiology is an asset Experience in statistics and data analysis of large data sets (including time series analyses and machine learning) Good programming skills Very good communication and interpersonal
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). Responsibilities Teach two undergraduate courses in politics each semester (Fall and Spring) Engage in 1 on 1 and group activities supporting students’ academic achievement at NYU London (Year-round) Assist with
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. Serve as liaison between the College, Financial Aid, and University Advancement related to scholarships and donor-funded awards. Other duties as assigned. Minimum Qualifications: PhD - Earned terminal
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology