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Field
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, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery, enjoy tackling complex multi-physics problems, and have the drive to explore innovative concepts
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researcher will be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities of this role include: ● Preparing complex data for analyses ● Conducting advanced
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 4 days ago
developmental stages. Their interactions can take many forms, ranging from mutual symbiosis to parasitic interactions. How these complex, multi-organismic networks are regulated by microbial communication is
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Interdisciplinary & multi sectoral research Competitive MSCA salary & allowances Global academic & industrial network Non-academic secondments Salary (Gross amount) Living Allowance Mobility Allowance* Family
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, Python). Experience in working with complex datasets. Interest in neurodegeneration and translational neuroscience. What we offer: A 2-year competitive doctoral scholarship and full benefits, renewable
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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text analysis and network analysis to examine processes of recognition, inclusion and justice in educational contexts. Z03 establishes a methodological infrastructure that integrates algorithmic
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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with rigorous control-theoretic principles, enabling reliable decision-making and control in complex, uncertain, and dynamic settings. Motivation Learning-enabled autonomous systems are increasingly used
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their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic