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. COMPETE2030-FEDER-02230700, financed by the National Innovation Agency through Thematic Program for Innovation and Digital Transition (COMPETE 2030) of Portugal 2030, in accordance with the Research and
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307240/phd-candidate-in-machine-… Requirements
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Master's degree in Electronic Engineering, Electrical Engineering, Telecommunications Engineering, Computer Engineering, Embedded Systems, Mechatronics, Physics, or a closely related discipline. The ideal
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
worldwide is projected to approach 180 zettabytes (ZB) per year by 2025 [1]. However, current storage technologies face significant limitations in scaling sustainably to such volumes. One promising solution
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Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307886/phd-candidate-in-efficien… Requirements Research FieldComputer scienceEducation LevelMaster Degree
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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visit our webpages: About Quantum Circuits, Architecture, and Technology (QCAT) section About Quantum and Computer Engineering (QCE) department Job requirements You hold an MSc degree in Electrical
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hardware-software co-design of ML models taking inspiration from the brain. The applicant should: have a Master’s degree in Engineering with a background in Electrical Engineering, Computer
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread