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software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens
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doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information Quantum computers have grown remarkably fast
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scenario-based modelling and simulation Develop and implement models for the simulation and analysis of coupled electricity and gas networks, with a focus on large-scale European energy infrastructures
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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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Radioisotopes and Advanced Materials Suite (RAMS), an emerging specialist facility bringing together radiological analysis, porous materials characterisation and advanced materials research. Working in RAMS, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
leadership, data analysis, and interpretation of results. A substantial component of the role involves the analysis and integration of high-dimensional genomic and transcriptomic datasets, including DNA and
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vacuum conditions. Your tasks include: • Design and manufacturing of propulsion prototypes • Experimental testing and diagnostics • Modelling and performance analysis • Development of propellant-control
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biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine learning applications in biomedical
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Policy, CAP) you will lead high-impact analytical research that supports evidence-based policymaking at both Dutch and European levels. Using advanced economic modelling and quantitative analysis, you will
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supporting prospective data collection and clinical evaluation studies, conducted in partnership with established research networks in high-TB-burden countries. Job-ID: V000015887 Field of application