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with applications in Earth Sciences Experience in numerical solution of partial differential equations Experience with the geodynamic modelling software ASPECT is of advantage but not a strict
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environment using models and data assimilation. We study the fundamental processes in the near-Earth environment and focus on understanding fundamental processes responsible for the evolution of space radiation
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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working on a third-party funded project funded by the Luxembourg National Research Fund (FNR) on 'Rule of Law Principles - which model for the Global South?' The project focusses on the transition
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under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, the project will leverage a combination of recently collected in-situ observations from MACCESS, high-resolution satellite data, and numerical simulations. The core modeling tool will be the Regional Ocean
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Overseas Young Scholars Support Program (Postdoctoral Program), providing talents with favorable compensation packages, numerous national-level research platforms, and promising career development paths