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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing
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extracted from multi-spectral remote sensing products and dendrochronology data This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project/forfus ), associated with
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enhance our capacity to comprehend and foresee the resilience and vulnerability of forest ecosystems. This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project
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model inversion including machine and deep learning methods · Publications in peer-reviewed journals This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research
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will also be enrolled at the University of Luxembourg as a PhD Candidate. This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project/forfus ), associated with
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET
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specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E-Mobility from an User Perspective (EMUP
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functions over forests and perform validation in drought and normal years. This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project/forfus ), associated with
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The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative