8 machine-learning-phd positions at University of North Carolina at Charlotte in United States
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expected to support the academic programs offered by the department. Research focus and expertise may include any of the following: artificial intelligence, machine learning, data science, forecasting
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offered by the department. Research focus and expertise may include any of the following: artificial intelligence, machine learning, data science, forecasting, optimization, reliability, simulation, and
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limited to 5-axis milling, low speed machining dynamics, free form optics, physics informed machine learning (PIML), robotic machining, cutting tool design, hybrid manufacturing context. - Draft Conference
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professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in
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in battery management systems Experience with software tools and libraries for machine learning (e.g., TensorFlow, TensorFlow-Lite, PyTorch, Scikit-learn) Excellent analytical, technical, and problem
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
. Research focus and expertise may include any of the following: data science, forecasting, industrial systems, machine learning, optimization, reliability, simulation, and statistics. The successful candidate
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Rate $54,000 Minimum Experience/Education The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.) PhD in Immunology
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Preferred Experience, Skills, Training/Education: 1. A PhD degree in Electrical and Computer Engineering, or a relevant field. 2. Strong track record of publications. 3. Experience in medical ultrasound