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their power consumption, select the most appropriate options and dimension them optimally. This also supports the development of run-time control mechanisms maximizing the transceiver energy efficiency in
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, Research Group Musculoskeletal Rehabilitation, we are looking for a part-time doctoral assistant, who will collaborate on a project concerning optimization of the guidance of young (elite) athletes
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often have high surface roughness and semi-attached particles, which is incompatible with a safe use of implants with optimal properties. In this PhD project, you will focus on three key objectives: (1
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to support this in the most efficient way. Ultimately, deploying and optimizing different base stations types on different sites may require AI solutions to master the multi-dimensionality of related scenarios
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based on extensive and realistic end-to-end simulations, and optimize them for the best performance/complexity trade-offs. By doing so, you will enable hybrid PHY implementations combining traditional and
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advanced causal inference, robust counterfactual simulation, and protocol optimization analytics. Key tasks include developing emulation engines, establishing regulatory-grade validation pipelines, and
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. The campuses emphasize optimal guidance and support for students. For more information please contact Prof. dr. ir. Jan Cappelle, tel.: +32 9 267 27 02, mail: jan.cappelle@kuleuven.be or Prof. dr. ir. Simon
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. The research combines high-fidelity numerical simulations (using CFD based software capable of multiphysics simulations, and DEM-based solvers). The insights gained will contribute to optimizing offshore
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-constrained platforms, without heavily relying on human interventions for hardware-aware optimization, or are unable to generate runtime-adaptive workloads, such as AI algorithms that evolve over time in
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) mouse model to improve outcomes. A successful project will result in: A developed and optimized mouse EVLP platform. AI-based identification of 3 IRI and 3 rejection target genes expressed