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Position Description At the Faculty of Mathematics at the University of Vienna seeks to appoint a Tenure-Track Professorship in Data Driven Partial Differential Equations The position We are looking
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
on community driven initiatives, which requires meaningful partnerships and collaboration with multiple stakeholders. GSDI has a cadre of local, national, and global research, implementation and funding partners
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
on community driven initiatives, which requires meaningful partnerships and collaboration with multiple stakeholders. GSDI has a cadre of local, national, and global research, implementation and funding partners
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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functions. European Journal of Soil Science, 54, 655–670. https://doi.org/10.1046/j.1365-2389.2003.00556.x  ; 6. Van de Broek, M., Govers, G., Schrumpf, M., și Six, J., 2025. A microbially-driven and
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing