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Field
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., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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: Optimization of Innovative Air Mobility Networks Operating Supervisor: Prof. Dr.-Ing Hartmut Fricke, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional
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ABHSSYS (Acoustic Black Holes for Silent SYStems, Grant agreement ID: 101227712) is a European Doctoral Network funded by the Marie Skłodowska-Curie Actions (MSCA), dedicated to advancing innovative
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 1 month ago
Responsibilities • Development of new theoretical and computational approaches for advancing the topics of the research team; software development in Matlab, Mathematica, or other frameworks, for the optimization
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optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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Research Infrastructure? No Offer Description MetaTune is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program, starting in March 2026. The Network
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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the attached job pack. Duties of the Role You will undertake a PhD at the University of Essex and deliver DC15: “Nature-Inspired Optimization Strategies for Quantum Network Routing: Leveraging Decoherence