88 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Binghamton University
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+ residents through a system of six residential colleges. We strive to support the academic mission of the University by providing residents with a living-learning experience through our collegiate structure
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candidates with expertise in discrete mathematics, with particular interest in candidates whose research advances the mathematical foundations of artificial intelligence, machine learning, and quantum
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creatively Willingness to learn new skills Ability to work in a team Quantitative and critical thinking skills Basic familiarity with biology and/or neuroscience Effective oral and written communication skills
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practice courses (e.g., modern dance), wellness practices like "Yoga for Performers," and additional offerings aligned with the candidate's area of expertise. The successful candidate will teach a range of
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, tectonics, seismology, materials science, and volcanology. The successful candidate will teach a mix of undergraduate and graduate classes, in particular, they will be expected to teach Earth Materials, a
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in the intersection of environmental geoscience and global change. The successful applicant will teach a mix of undergraduate and graduate classes. They will also develop and maintain a research
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press, successful teaching experience, and an MFA or PhD by August 16, 2026. The ability to teach in other genres is welcome. The successful candidate will typically teach a 2/2 load of undergraduate and
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neglected composers, genres, or repertoires) Experience teaching at the college and/or professional level Ability to recruit qualified undergraduate and graduate students Ability to teach elective courses
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that empower personal development and academic success. Our six diverse residential areas offer Bearcats a home away from home that supports learning and growth. Residential Life launched an innovative staffing
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to teach at the undergraduate and graduate level, and contribute to the vibrancy of the faculty and student community within and beyond the department. We encourage applications from individuals of all