180 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions at Yeshiva University
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substitutions Practicum extensions Revised roadmaps Students returning from Leaves of Absence Assist students with: Transfers into other program options or into the live virtual/face-to-face, or block program
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Position Summary: Stern College for Women at Yeshiva University invites applications for the position of a tenure-track Assistant Professor of Biology, with an anticipated start date of August 2
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Internal Number: 6976889 Office Manager Job No: 498710 Work Type: Staff Full-time Department: Benjamin N. Cardozo School of Law Location: Brookdale Center, 55 Fifth Avenue, NY, NY Categories: Administrative
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Position Summary: The Program Manager will report to the Senior Associate Dean of Nursing and support the undergraduate Nursing program in the Katz School of Science and Health. Position
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: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language
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Position Summary: The Graduate Computer Science and Engineering (CSE) Department of Katz School of Science and Health is seeking on-campus instructors with extensive industry, research, and/or
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Position Summary: The Health and Behavior Analytics MS Program at Yeshiva University's Ferkauf Graduate School of Psychology seeks to hire a full-time Clinical Assistant or Associate Professor, and
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University’s Jewish studies component. To learn more about the Sy Syms School of Business, please visit our website: https://www.yu.edu/syms Founded in 1886, Yeshiva University (YU) has a strong tradition of
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teaching interests complement and/or reinforce our existing strengths: https://www.yu.edu/yeshiva-college/ug/jewish-studies and https://www.yu.edu/revel/faculty . The teaching load for the position is three
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. · Familiarity with digital technology for assessment, aging, neurodegenerative disease, and/or neuropsychiatric populations. · Experience with computational and statistical approaches for time series