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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
Electrical & Computer Engineering Work Location Grigg & EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Monday through
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requirements: Master’s degree or equivalent preferably in machine learning or equivalent fields. A Master’s degree in computer science/statistics/applied mathematics/electrical engineering can also be considered
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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group at the Department of Chemistry which consists of around 25 highly dedicated professors, researchers, postdocs, PhD fellows, engineers, admin, master and exchange students. The group will relocate
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research
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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering
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First Stage Researcher (R1) Positions Postdoc Positions Country Spain Application Deadline 24 Jan 2026 - 22:21 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer
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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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Sensing (DAS) has emerged as a powerful technology for down-hole monitoring of flow processes in petroleum wells, using fibre optic cables as acoustic sensors. Despite its potential, current applications