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Università degli Studi di Roma Tor Vergata - Dipartimento di Medicina dei Sistemi | Italy | 21 days ago
., biologics and small molecules) in CSKDs. The goal is to provide healthcare professionals with the tools to personalize therapy, optimize efficacy (achieving endpoints such as PASI 90/100) and safety, and
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Intelligence Platform for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform
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: Define the critical engineering requirements (optical pulse duration, terahertz crystal materials in cryogenetic environments, signal-to-noise ratio optimization, entanglement witnesses and verification
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optimization methods for the decision-making system. Contract Duration: 12 months (with possibility of renewal). Budget: €20,446.41. Position B (Code B) - Software Engineer / Researcher: The associate will
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimized Routing with 3D Loading Constraints (ORoLoC3D) Where
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detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
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Postdoctoral Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) works at the intersection of AI-driven automation, self-driving laboratories, and scientific discovery, in close collaboration
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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 As a design-technology co-optimization (DTCO
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Identification of genomic and transcriptomic genetic biomarkers associated with Myotonic Dystrophies
Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 21 days agounderstood. The aim of this project is to optimize the molecular diagnosisi of DMs using innovative technologies (thrid-generation sequencing), characterize genotype-phenotype correlations, and identify non
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the optimal reading of magnetic information via non-linear effects. The project also foresees the integration of optimal working materials into functional nanodevices. The research to be performed will require