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Full-Time Lecturer AY - Computer Engineering (AY26/27) Apply now Job no: 553877 Work type: Instructional Faculty - Temporary/Lecturer Location: Cal Poly - San Luis Obispo Campus Categories: Unit 3
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. Proficiency in computer/technology and database maintenance, with excellent time management and organizational skills. Knowledge and appreciation of cooperative education and/or experiential learning and its
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the ICAMS Safety Council. Supervise and instruct students and junior machinists in safe shop practices. Instruction & Leadership Teach NIMS Level 1–4 machining skills to university students and industry
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validate adaptive mechanisms for LoRaWAN based on machine learning techniques, targeting improved reliability and energy efficiency in mobile scenarios. To achieve this, it is necessary to go beyond
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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technologies, such as low-power long-range (LoRa) and high-throughput, low-latency technologies (5G). In the context of machine learning, communications play a central role in data sharing and in the decision
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 11 hours ago
Posting Details Posting Details Position Title Visiting Assistant Professor of Music Theory & Composition External Link to Posting https://jobs.uncw.edu/postings/39003 College College of Humanities
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the ability to teach the required courses in a competent and safe manner. Your recent experience in the automotive field (10 years or more) as well as with diesel / heavy equipment instruction or maintenance
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single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
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armasuisse Science and Technology and partners from industry and the Swiss Armed Forces. The research contributes to the scientific foundation of monitoring and rapid altering systems for underground