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European wide Doctoral network on the security and resilience of critical cyber physical systems – SecReSy4You, funded by the Marie Skłodowska-Curie Actions Doctoral Networks scheme (https://secresy4you.eu
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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an interdisciplinary environment; Willingness to travel within Europe for network activities and secondments (including research stays at i3S, Portugal). Desirable Experience in glycan analysis or glycomics workflows
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Preference will be given to those with proven knowledge and experience in undertaking research related to social network analysis. For the project information and job inquiries, please contact the Principal
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Horizon Europe MSCA Doctoral Network, SUPER, as a PhD Fellow. The successful candidate will be registered as a fee free PhD student at Universidad Europea de Madrid and enrolled in the SUPER Doctoral
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GÖTTINGEN ACADEMY OF SCIENCES AND HUMANITIES IN LOWER SAXONY | Lower Green, England | United Kingdom | 1 day ago
on their projects, free from teaching obligations, while accessing a broad network of institutions and contributing to innovative, future-oriented research in the Humanities, Cultural Studies, and Social Sciences
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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at the forefront of the research and development of self-healing reversible polymer networks (https://www.youtube.com/watch?v=fQ4t5GcS0_g ). With REVERSAM, we will explore deeper how the unique properties
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articles, contribute to national and international conferences, and develop a (inter)national network. The specific research project is situated in the field of infectious disease, namely it focuses
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application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction, volumetric analysis