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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Communications in vehicular networks
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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karstic networks and alluvial terraces lying on the top of the foothills. The work will be mainly based on already existing and new TCN dates in order to: (1) gain an overview of the oldest remaining
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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astronomical diagrams by developing innovative, domain-specific computer vision tools. The two main objectives of EIDA are: 1. To develop a specific critical framework for astronomical diagrams and define
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using image analysis software already available at the LCTS. This will generate two types of computational domains: (i) porosity-calibrated images (i.e., images whose gray levels correspond to the local
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of the world's 34 biodiversity hotspots. The Avoid-Reduce-Compensate sequence that the project owner, SNCF Réseau, must implement, aims to guarantee no net loss of biodiversity induced by the project