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will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely with Prof. Carol Martinez, Prof. Olivares-Mendez, and the members of the Space
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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& Applications. The Signal Processing and Communications (SIGCOM) research group of SnT conducts research aimed at designing, emulating and testing new high-performance systems for the future of mobile and
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for highly dynamic SatCom systems Implement and open-source proof-of-concept software tools Collaborate with an international and multi-disciplinary team within the SIGCOM group Support ongoing activities
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precisely, the postdoctoral researcher will: Develop and implement uncertainty-aware MLFF architectures Design and test loss functions, calibration methods, and training strategies Analyze feature-space
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-content imaging, confocal microscopy, and quantitative image analysis Functional phenotyping using HD-MEA electrophysiology Testing of therapeutic strategies Coordination with single-cell RNA-seq, single
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-content imaging, confocal microscopy, and quantitative image analysis Functional phenotyping using HD-MEA electrophysiology Testing of therapeutic strategies Coordination with single-cell RNA-seq, single
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on research currently conducted through the GAMMA-UL Chair on Regional Integration and Sustainability, this project utilizes tested methodologies to assess Luxembourg's normative coherence for global climate
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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. The team you will be working with: Dr. Maxime Cordy Sylvain Kubler Dr. Mike Papadakis The position holder will be required to perform the following tasks/will do research on the following topics: Software