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epitaxy (MBE) Develop innovative approaches to accelerate MBE materials development using in situ characterization & machine learning Integrate epitaxial synthesis with exfoliated two-dimensional materials
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Part-Time Lecturer Pool - Computer Engineering (AY 26/27) Apply now Job no: 556025 Work type: Instructional Faculty - Temporary/Lecturer Location: Cal Poly - San Luis Obispo Campus Categories: Unit
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Job related to staff position within a Research Infrastructure? No Offer Description Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track
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utilization. ● e) Applying machine learning techniques: Dynamic selection of optimal post-processing protocols will be achieved by evaluating real-time network conditions and adjusting based on metrics
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systems, advanced sensing technologies, application of deep learning and AI for wireless systems, etc. For more details, please view: https://www.ntu.edu.sg/eee We invite applications for the position
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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Computer Engineering program and develop and maintain a nationally and internationally recognized externally funded research program in their technical fields. Teach and mentor students at both
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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Engineering » Computer engineering Engineering » Electrical engineering Engineering » Knowledge engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29 May 2026 - 23:59 (UTC) Country