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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
Staff (SHRA) Position Title Technology Support Analyst (Machine Learning Intern) Position Number 20064965 Vacancy ID S023436 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule To be
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experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning
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maintain data for easy retrieval. Uses artificial intelligence and machine learning to develop new methods in computational structural biology Performs structure prediction using AlphaFold 2. Performs in
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candidate will possess extensive expertise in machine learning, deep learning, and programming, coupled with a proven ability to assess, analyze, and organize large volumes of data. You will join a team
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We are looking for a scholar with research interests in applications of machine learning to health, interested to pursue a Postdoctoral Fellowship at Stanford University, School of Medicine in Palo
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of the information technology (IT) end user computer equipment and resources in the Digital Learning Building. The work includes, but is not limited to, advanced configuring, modifying, troubleshooting, and repairing computers
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written and verbal communication skills Computer skills. Organizational skills. Strong interpersonal and counseling skills. ESSENTIAL FUNCTIONS Conducts weekly individual meetings with Learning Excellence
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Technology Officer, this position will be responsible for maintaining the operational integrity of the information technology (IT) end user computer equipment and resources in the Digital Learning Building
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: Advising Students: Provides academic advising for students identified as military veterans as well as other identified populations grounded in tenets of practice outlined by the National Association
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Technician interested in computer science and wildlife biology & conservation to assist in annotating videos of animal behavior and Imageomics machine learning (ML) models. The Research Technician will assist