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that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially infinite-dimensional (e.g., space-dependent
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creep and shrinkage Experience in scientific writing or high-impact research collaboration Programming or scientific-computing skills with tools such as MATLAB and Python for model implementation and data
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well as in-situ observations at or near the surface. The development of inverse models for greenhouse gases is planned from 2024 onwards. For more information about the institute, its activities and the
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clinical outcome data, exposome research provides a holistic framework for identifying preventable risk factors and guiding targeted public health interventions. This scientific approach underpins both
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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mechanisms required for selective autophagy and how the autophagy machinery links up with cargoes including aggregates. In this project, the PhD candidate will build on a strong foundation of existing data
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will support the Principal Investigator (PI) and actively participate in
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Department: Department of Electronics and Information and Communication Technologies Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward
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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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generation of spectroscopic sensors, integrating spectroscopic analysis, machine learning-based data processing, miniaturized sensor development, and industrial validation. As a Technology Expert, you will