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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the development and implementation of machine learning models Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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Offer Description We are seeking to appoint a Postdoctoral Researcher for a three-year position in machine learning emulators of ice-ocean processes. The role is part of PRECISE: Prediction of Climate
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learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Medical Immunology
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, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required
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researcher with a strong scientific record (experience in leading research projects and completed postdoctoral fellowships is welcome), who is ready to teach courses in physics or computer science
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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
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to learn new skills/tools is important for success in this position. The postdoctoral scholar is expected to have completed a PhD in any of the following areas: RF/microwave engineering, theoretical physics
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skills Strong negotiation and interpersonal skills Strong analytical and problem-solving skills Strong expertise in business and management, computer applications, and databases Strong knowledge