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Field
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on soil carbon pools and fluxes, microbial communities, soil fauna, and ecosystem functioning; estimating carbon budgets of forest soil ecosystems using quantitative and probabilistic methods; developing
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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dimensionally identical to real samples of metallic and non-metallic materials, which will be divided into quadratic volume elements using mesh generation. The denser the mesh is chosen, the more accurate the
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial vendor
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are seeking to recruit a Doctoral Candidate in the framework of the Marie Sklodowska-Curie Doctoral Network NEWTON funded by the European Commission. The recruited candidate will join the Wireless Networks
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Secure Mobile Systems Group Research Field Computer science » Other Engineering » Electrical engineering
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open to candidates with a strong interest in either: i) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Electronic Engineering, Computer Sciences or equivalent. Experience in communications and networking, AI, or robotics is desirable but not