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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 2 months ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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, complex systems. Strong communication and writing skills; ability to work both independently and as part of a team. About the team The DATA team develops foundational mathematical and algorithmic approaches
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ERC project ABYSS ('Megathrust Faults Monitoring from Abyssal Distributed
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distribution of mid-ocean ridge earthquakes, quantify the associated energy release, identify clusters and mechanisms of interests and perform relative relocations on targeted event swarms. The seismogenic
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access to unevenly distributed underground storage, connect renewable-rich regions with industrial hubs and, in certain areas, limit the cost of reinforcing the electricity transmission network. CEA I-Tésé
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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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also leading to an increased frequency of climate anomalies, such as heat waves. These temperature changes can drastically modify the phenology of species, their geographic distribution, food webs