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Ferrer (https://sites.google.com/site/eferrerdg/ ) at the school of aeronautics ETSIAE-UPM in Madrid, Spain. The researcher will develop/implement aero/hydro-acoustics functionalities in our existing high
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Chemistry, Pharmacy, Biochemistry, or related disciplines. Master's degree granting access to a PhD programme. Previous experience in molecular modelling, computational chemistry, computer-aided drug design
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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: inverted-microscope imaging, organic-matter localisation, X-ray tomography (CT-scan) before and after dissolution. • Design and run CaCO3 dissolution experiments: O2 flux and pH measurements using
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mathematical ability and experience in machine learning, programming, and analyzing visual data. Furthermore, you have the ability to work long-term and move projects forward even when challenges arise. You
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designed to achieve the following training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space
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, and maintenance of research documentation. Preferred Competencies Ability to design and interpret complex experiments, synthesize data across multiple systems, and translate findings into testable
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transition. See: https://www.tudelft.nl/en/2026/tbm/tpm-researchers-receive-nwo-kic-consumer-behaviour-for-a-circular-system-transition-grant . The project includes 2 PhD positions, 2 Postdoc positions, and