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Field
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areas: programming, database management, systems analysis and design, data visualization or reporting, ERP, machine learning, or cloud computing. would be strongly desired. A minimum of one-year
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for install across the Network over the next 3 years, replacing mostly Elekta linacs. Cloud-based Aria and Eclipse are presently in process of replacing Mosaiq and Pinnacle. Brianlab ExacTrac with surface
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Apply now Job no:574733 Work type:Education-focused Academic, Part-time Location:Geelong - Waurn Ponds Categories:Health Based at our Geelong, Waurn Ponds Campus Part-time 0.8 and continuing in
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on Bioinformatics/ Computational Biology to study women’s health in brain aging and Alzheimer’s disease Job #JPF05754 Neurology / SCHOOL OF MEDICINE / UC San Francisco Application Window Open date: August 20, 2025
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Department Contact Name and Title Daniel Anderson, Professor ,Writing Program Director Department Contact Telephone or Email iamdan@unc.edu Academic Personnel Office Contact Information If you experience any
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Department Contact Name and Title Daniel Anderson, Professor ,Writing Program Director Department Contact Telephone or Email iamdan@unc.edu Academic Personnel Office Contact Information If you experience any
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facilities, and beyond as appropriate. You have: A good honours degree in Computer Science or a related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial
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or equivalent relevant education/experience in supply chain, management, business, contracts administration or similar field. Or, relevant PhD and equivalent relevant education/experience in supply chain
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specialization in Education and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial relevant industrial/commercial experience. Experience teaching university-level courses in