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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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using machine learning; Interpretation of soil profiles and moisture maps. Development and validation of digital tools: Support in building georeferenced web interfaces for data visualization
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an efficient manner. Proficient computer skills, including word processing, spreadsheets, and databases. Ability to work effectively in a team environment. Ability to support continuous improvement. Preferred
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-time Professional Writing Instructors to teach sections WRT 205 Spring 2026. Multiple sections may be available; teaching load for new instructors may be anywhere from 1 to 4 sections per semester
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setup, teaching and tear-down of laboratories in professional degree program. Will teach DVM students and communicate with faculty and other staff regarding the delivery of laboratory curriculum and
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machines, and related design processes. Students will receive hands-on training on all technologies to ensure they can effectively support patrons and maintain equipment. Required Attachments (No Self
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and routes phone calls, emails, and/or guests. Maintains files and enters data. Operates standard office equipment such as personal computers, copiers, fax machines, etc. Required Minimum Qualifications
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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from Hi-C and Capture Hi-C experiments. Have experience developing graphical user interfaces (GUIs). Candidates with knowledge or experience in machine learning methods will be prioritized. Successful