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groups, led by 15 professors. Research at CFMT focuses on raw materials and their constituents, microorganisms and processes that are relevant to various bio-industries and to the food industry in
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with
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should have strong digital signal processing and mathematical backgrounds evidenced by grades and/or prior publications. Additionally, the candidate should have expertise or strong interest (evidenced by
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the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to
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: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be
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and implications of data anonymization, Investigating the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model
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make powerful yet low-cost, biocompatible and biodegradable LCEs using polysaccharides as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning