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• At least intermediate knowledge of cyber security • Knowledge of programming tools and technologies • Knowledge of data analysis tools • Knowledge of basic and advanced machine learning • Basic
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• At least intermediate knowledge of cyber security • Knowledge of programming tools and technologies • Knowledge of data analysis tools • Knowledge of basic and advanced machine learning • Basic
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with artificial intelligence (machine learning/deep learning) Essential Application/interview Experience with classical image processing techniques (e.g. classification/segmentation/registration
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of the dean. The candidate must have demonstrated experience in working in teaching in a diverse learning environment. Application Instructions: The Master of Science in Human-Computer Interaction prepares
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- eligible employees and their dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T23 Learn more about the “T” salary structure here: https
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the integration of modern machine learning tools into computational catalysis workflows. Write research proposals for funding and manuscripts for publication. Assist the PI with the supervision of students and
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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focusing on the integration of machine learning, wafer-scale synthesis of materials. The role will contribute to the university's research mission by conducting fundamental research, helping secure external
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity