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alkaline methods from distinct soil horizons across 40 DeepHorizon project sites. The primary goal is to pinpoint site-specific molecular markers of organic carbon, including recalcitrant compounds
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focused on advancing computational methods for synchrotron, free-electron laser (FEL), and related scientific challenges. SciQC combines expertise in mathematics, numerical algorithms, high-performance
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for technical-scientific domains that do not correspond exactly to this call. Job Description FBK is looking for candidates to fill one position in Deep Learning methods applied to projects within the DSIP unit
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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Furthermore, the following elements will be positively evaluated: International research experience Experience working in a collaborative research project Experience conducting research in archives and
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linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research programme to which the enclosure is linked: Methods and tools
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will be used: NMR, methods for the measurement of fresh mixes’ rheology, characterization techniques for hardened properties (microstructure and mechanical performance) and further techniques useful
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to ongoing and related projects as needed; Contributing to the Centre’s training program by teaching workshops or tutorials in machine learning, generative models, or data science methods; Engaging with public
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zebrafish larvae with advanced optical methods. The position will be at the University of Florence, NEUROFARBA Department. The deadline is: 28th January at 13:00 (CET) The activity involves the use