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, methods and solutions that are relevant for the energy sector. In particular, you will be involved in the POPCORN project, where you will implement state-of-the-art semantic segmentation and instance
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and/or entrepreneurship Experience with empirical research methods (quantitative and qualitative) Documented scientific publications or clear publication potential Interest in research on innovation and
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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-domain, finite element, or method of moments, and you use these tools to translate ideas into robust antenna concepts. It is natural for you to work with advanced antenna architectures, for example