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to investigate the history of Luxembourg's tax regime, its beneficial elements through time as well as the socio-economic context within which this regime/the different regimes through time developed. The project
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven
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mandatory Commitment, teamwork and a critical mind The ideal candidate should have experience in some of the following topics: Experience with control methods: impedance/admittance, force control Experience
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take a leading role in research activities, including the design and implementation of novel methods, experimental evaluation, and dissemination of results through high-quality scientific publications
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: Develop innovative methods and tools for highly dynamic and spectrally congested environments, where interference and jamming may occur. The techniques include detection/sensing, characterization, and
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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/RFSoC boards, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF
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) Willingness to work in a highly interdisciplinary context and develop a set of interdisciplinary methods (i.e., dealing with both qualitative and quantitative data) Interest in engaging with stakeholders active