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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
between Luxembourg and France, the FNR-funded postdoctoral researcher will conduct research in the development of advanced plasma-assisted thin film deposition processes for catalytic and
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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drought, heatwaves and environmental pressures threaten their resilience. While much attention is given to visible canopy decline, the long-term stability of forests is strongly determined by processes
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encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged
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taken 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 considered. Please
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improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities: www.esric.lu How will you
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and