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placed on synthesis approaches, such as meta-analytic techniques and the analysis of large-scale health data, to systematically integrate evidence and identify patterns across diverse health outcomes
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such as the Global South. Specifically, synthesis approaches such as meta-analytic tools are highly encouraged. The ideal candidate will bring a strong interdisciplinary background, evidenced by
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South, the professorship will integrate empirical methods, system-level analysis, and synthesis science, including meta-analytic approaches, to develop holistic and actionable insights. We are seeking a
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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on developing robust, scalable applications that bring our research to market and deliver value to our partners. In this role, you will collaborate closely with researchers to understand complex algorithms and
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will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
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in-orbit servicing while exploring water extraction for a circular space economy. SpaceR is developing an RL algorithm for satellite rendezvous, docking, and liquid transfer, with tests conducted in
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human