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& Applications. The SPARC group in SnT is pursuing research on signal processing applications in radar and communication systems in partnership with national and international academic and industrial collaborators
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procedure law, ideally in connection with its European, international and interdisciplinary aspects. The doctoral researcher will be working under the supervision of Professor Stefan Braum. The thesis work
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: · Developing mathematical optimization approach and tool for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g
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natural and artificial intelligences process information. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods
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Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell-signalling/ ), led by Prof. Alexander Skupin, which focuses
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Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing
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, H2020 programme, and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu The SigCom research group carries out research activities in the areas of signal
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the field Staying updated with the latest advancements in satellite communication, signal processing, radar technologies, navigation algorithms, and other relevant domains Publishing your research findings in
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, you may check: www.securityandtrust.lu The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite and 5G/6G
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
); · Demonstrated experience with common advanced signal processing techniques (e.g. denoising autoencoders, robust PCA, wavelet transforms). · Experience in methods to disentangle and integrate data sources