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: Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline. AI & Machine Learning: Strong background in AI model training, computer vision, image processing, and
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 1 day ago
neural networks. Conduct experiments for empirical verification Prepare software libraries Write scientific articles Disseminate the scientific work in appropriate venues. Where to apply Website https
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funded by UKRI EPSRC, is fixed term for up to 12 months maximum, and must end by 31/12/2026. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus
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of energy forecasting and optimisation algorithms using artificial intelligence, machine learning and probabilistic forecasting to estimate renewable energy generation, electricity consumption and the
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information security and cyber threats to the organization by correlating data to identify weaknesses within infrastructure, including software, hardware, and networks, and implementing measures to protect
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of wetlands and aquatic
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Assistant Professor – Technology - Computer Network System Management (CNSM) Apply now Job no: 562256 Work type: Instructional Faculty – Tenured/Tenure-Track Location: San José Categories: Unit 3
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, ancestral, and unceded territory the university resides. For more information about the Department of Electrical and Computer Engineering, please visit https://ece.ubc.ca .
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, telecommunications, and network-connected technology systems across the institution. This position provides technical expertise for technology infrastructure projects, structured cabling systems, construction