-
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
-
refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
-
Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming
-
or other space-system safety standards Experience with simulation, Software-in-the-Loop, or Hardware-in-the-Loop testing Experience integrating AI methods with control, estimation, or autonomy frameworks
-
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
-
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
-
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
-
: 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
-
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
-
) 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