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Are you passionate about spintronics and nanomagnetism and eager to contribute to scientific excellence? Join the Nanomagnetism and Oxides Laboratory (LNO) at SPEC as a Research Scientist and contribute to the development of leading experimental research in magnetic sensing and...
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Are you passionate about the enzymatic reactions of anaerobic microbes and keen to contribute to excellence in scientific research? Join us as a post-doc/researcher on a two-year fixed-term contract, with a possible extension, and be part of the IBS/IRIG Institute! The position is available to...
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Are you passionate about the enzymatic reactions of anaerobic microbes and keen to contribute to excellence in scientific research? Join us as a PhD student on a three-year fixed-term contract and be part of the IBS/IRIG Institute! The position is available to investigate the enzymatic chemistry...
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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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In the context of ongoing transformations of wireless technologies, the laboratory LS2PR investigates innovative network topologies and digital signal processing schemes. On the one hand, novel network topologies based on distributed MIMO, formerly referred to as cell-free massive MIMO aim to...
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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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13 Feb 2026 Job Information Organisation/Company CEA Department IRIG Research Field Physics » Solid state physics Engineering » Materials engineering Physics » Crystal growth Engineering » Electrical engineering Physics » Condensed matter properties Engineering » Electronic engineering Physics »...
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Numerical analysis of fully explicit phase-field models for dynamic fracture of materials H/F Numerical analysis of fully explicit phase-field models for dynamic fracture of materials Understanding material fracture is paramount in the nuclear industry to ensure the structural integrity and...
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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 in the training data and can naturally arrive during deployment (i.e., a distribution shift),...
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior of the resulting metamaterials (elastic moduli, yield strength, toughness). 2. Use these tools to...