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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven , we offer a unique PhD experience with access to state-of-the-art facilities, expertise, and training. PhD
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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influenza viruses and antiviral immune responses. The project will combine viral immunology, mouse models and genetics, cellular immunology, multicolor/spectral flow cytometry, and next-generation sequencing
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accurately model the relationship between stress responses captured at the physiological, psychological and behavioural levels. The first part of the PhD will focus on addressing measurement issues in
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in an active and well-resourced research group based in