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application! We are looking for one or more PhD student(s) to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments Much of the traffic in 6G networks
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subject area or subject specialism. A4 Conversant in Python programming and deep learning algorithms for image analysis. For appointment at Grade 7: A5 Normally Scottish Credit and Qualification Framework
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Infrastructure? No Offer Description Work group: PGI-14 - Neuromorphic Compute Nodes Area of research: PHD Thesis Job description: Your Job: You will participate in an international team in an EU-funded Doctoral
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Infrastructure? No Offer Description Work group: PGI-14 - Neuromorphic Compute Nodes Area of research: PHD Thesis Job description: Your Job: You will participate in an international team in an EU-funded Doctoral
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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reliable models and algorithms in these contexts (weakly supervised, semi- or unsupervised learning, domain generalization, active learning, federated learning, privacy preservation, noise and uncertainty
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fellowship (BI) for a PhD Student 1 Research Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project/R&D institution “ROBERTA
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signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin will serve as the foundation for a permanent SHM system for the galleries in the HADES URL
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algorithms, building models, and deploying systems. A PhD in a related field may substitute for two years of the required experience. Experience must include at least three (3) years of managing projects and
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning