320 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at The Ohio State University
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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, between Department of Radiology leadership and College of Medicine leadership. Requirements MD, DO, or MD/PhD in imaging and/or imaging-related fields. Board Certification in Radiology (ABR) Fellowship
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, DO, or MD/PhD in imaging and/or imaging-related fields. Board Certification in Radiology (ABR) Diagnostic Radiology Residency with additional fellowship training in Thoracic Radiology. Demonstrates
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opportunities. Qualifications: Experience with Adobe Software Programs (such as Premier Pro, Photoshop) Social media platform algorithms. Good communication skills Valid Ohio driver license required. Basic
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-clinical and professor-clinical. These faculty will have earned a Doctor of Medicine (MD), Doctor of Osteopathic Medicine (DO), doctorate (PhD) or other terminal degree in the relevant field. Clinical
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seek a PhD or MD/PhD researcher to join the Department of Surgery, Division of Trauma, Critical Care and Burn. Academic rank and track commensurate with academic record and experience. Position Overview
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seek a PhD or MD/PhD researcher to join the Department of Surgery, Division of Trauma, Critical Care and Burn. Academic rank and track commensurate with academic record and experience. This position is
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record and experience. Department/Division Overview The Department of Neurological Surgery is composed of 25 physicians, 8 PhD research faculty, a complement of 21 residents, and 6 fellows. Comprised
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Scientist will maintain up to date knowledge on trends and developments in population studies. Required Qualifications: PhD in relevant field required and minimum of 2 years (post PhD) conducting research in
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine