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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine cutting-edge physiological measurements, motion analysis and wearable
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sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
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microbiome, and their specialized metabolites. To address this question, the project will develop an integrative approach combining chemical ecology, microbiome analysis, multimodal metabolomics, and
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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
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of Josephson junctions. The methodology combines TEM, geometric phase analysis (GPA), chemical analysis (EDX), and growth modeling. Experiments using 4D-STEM coupled with electron ptychography will provide
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combine academic excellence with relevance for practice — including through innovative formats of dissemination and co-creation with industry. Proposals must address the project’s prospective interactions
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environments, and distributional shifts. The research will combine probabilistic modelling, network-based representations, and modern AI methods to enable scalable and interpretable decision-making in complex
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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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is expected to be open to combine both positivist and non-positivist approaches under the supervision of Carolin Ischen and Gijs Schumacher, both specialized in large-scale quantitative analysis and