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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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: www.uni.lu/snt-en/research-groups/finatrax/ Your role The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg
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contribute to innovative research projects aimed at unraveling cellular interactions and immune mechanisms in liver disease. The following responsibities (not limited) are expected: Develop, optimize, and
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
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researcher in the context of a multidisciplinary project to classify materials in waste streams, including using X-rays. The goal is to optimally use the spectral capacities of a new generation of X-ray
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pigments, for the food and feed industry. The performance of these novel pathways will be benchmarked against conventional protein sources, such as soy, wheat or animal-based products.Your task will focus
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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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