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-Island/Regulatory-Advisor_REQ207232 Job Description: About Brown Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students
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, courses will be delivered asynchronously online, through OSU’s award-winning online education (Ecampus) program, with a commitment to providing engaging, active, and equitable learning experiences
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when training data is scarce, using machine and deep learning techniques and informed machine learning methodologies. 3. Job profile. Preference will be given to those with: 3.1. Experience and training
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communication skills and a deep understanding of donor engagement. The successful candidate will have a proven track record of successful collaborations with colleagues across departments, divisions, or Schools
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department