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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
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network topologies based on distributed MIMO, formerly referred to as cell-free massive MIMO aim to provide spatially homogeneous capacity compared with traditional architectures; however, it also
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estimated through CFL-type conditions derived from simplified arguments. Some of our investigations have suggested that phase field equations conditions might be very unfavorable since its associated critical
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Laboratory for Quantum Photonics, Electronics, and
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems, electric vehicles, and data centers. Their conventional maintenance is often based on fixed schedules,...
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Category Chemistry Contract Internship Job title Stage BAC+5 Internship in Materials Chemistry Engineering for a master's degree H/F Subject Electrochemical characterization of Hybrid Solid Polymer Electrolytes for High-Performance Lithium-Ion Batteries Contract duration (months) 4 Job...
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skills and a particular talent for computational simulations, as the project involves advanced gyrokinetic modeling and possibly code development. An interest in high-performance computing will be a
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, easily accessible via the CEA's soft mobility program. A unique research environment dedicated to topics with high societal impact. Experience in a cutting-edge field of innovation with strong industrial