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of long-reach amplified MCF systems”DC 12 – Thesis title: Design of application-aware high-capacity optical networksSupervisors: Dr. J. Pedro (INF/Nokia); Prof. L. Cancela (Iscte)Infinera is a global
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. The Role This is an exciting opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions
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will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and collaborators both from
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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February 1, 2026, or as soon as possible for 4 years. The fixed-term position is for completing doctoral studies. This Ph.D. project aims to explore methods to develop in order to support distributed quantum
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Applications. The candidate will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans over 40 diverse people
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12 Dec 2025 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
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10 Nov 2025 Job Information Organisation/Company Université Catholique de Louvain (UCL) Research Field Geography » Other Biological sciences » Other Medical sciences » Epidemiology Researcher
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
distributed infrastructure Applications of agentic AI What You Will Get An inclusive and open-minded research environment that bridges theoretical thinking and system building, with opportunities to publish and
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-to-design mapping, mixture density networks or MDN-based inverse generators will be employed to capture the multimodal distribution of the design space, enabling flexible inverse design sampling based