619 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Texas A&M University
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Assistant Professor, Instructional Associate Professor, Instructional Professor depending on qualifications. The successful candidate will play a critical role in advancing our teaching objectives and will
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considered for the faculty titles of Clinical Assistant Professor, Clinical Associate Professor, or Clinical Professor depending on qualifications. Seeking highly dedicated and compassionate primary care
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for the faculty titles of Assistant, Associate, or Full Professor, with the ordinary full-time, 9-month service period to begin in the fall of 2026. Since integrating with Texas A&M in 2013, our law school (located
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2026. Applicants will be considered for the faculty titles of Instructional Assistant Professor, Instructional Associate Professor or Instructional Professor and salary will be commensurate with
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responsibilities will emphasize educational pedagogy and mathematics education, with the expectation that the faculty member may occasionally teach courses across the Education Division as program needs require. In
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mission and goals through administration and coordination of academic and industry participants, mentors, advisors, and key stakeholders. It oversees program communications, scheduling of forums and
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accepted at the rank of Clinical Assistant Professor, Clinical Associate Professor, or Clinical Professor, commensurate with qualifications. The College of Medicine is partnering with the Lone Star Circle
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Electrical & Computer Engineering Location College Station, Texas Open Date 2/4/2025 Position ID 156033 Description The Department of Electrical and Computer Engineering, College of Engineering at
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g
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an exciting opportunity to work at the intersection of geoscience and advanced machine learning. The associate will collaborate primarily with Professor Qian Yuan, focusing on integrating state-of-the-art