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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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for this programme Detailed information about the study programme Offer of dissertation topics: Healthcare Workforce Optimization in Czechia Considering Population Development Life-Course and Inequalities in
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life-saving potential, yet optimal patient selection, timing, and device strategies require deeper mechanistic and clinical insight. Our program combines experimental cardiovascular research with robust
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on model surfaces In situ and operando (surface) X-ray scattering studies of catalyst/polymer interfaces Design, optimization, and testing/benchmarking of reactors for in situ and operando studies
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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and