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cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future at Duke
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Electric Code and OSHA Standards for General Industry have the ability to learn and demonstrate the skills required for progression in the I&E Milestone Program Preferred: Working knowledge of programmable
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Adjunct Faculty positions are temporary, part-time positions hired each semester on an as-needed basis. The adjunct faculty member will be responsible for creating a learning environment that
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Learning Work Location Paducah, KY Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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: The successful candidate will closely work with faculty supervisor on hardware security projects. The ideal candidate will have an excellent knowledge of cyber security. Applicants must have a BSc with any level
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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to work effectively in an interdisciplinary team. PREFERRED QUALIFICATIONS Experience with one or more of the following: knowledge graphs, graph machine learning, link prediction, representation learning
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. The salary range for this position is $72.96 - $90.91 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in