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Field
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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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bottlenecks in existing Planning Support Systems and map where generative AI can add most value. Design, prototype, and test AI-enhanced PSS components (e.g., automated scenario generation, smart data
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Join the Laan Lab at TU Delft to unravel the mesoscale physics of how cells maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often
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candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across
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assess their usefulness. Co-create a regional risk picture by facilitating workshops to prioritise event–disruption–risk combinations with compounding impacts on care (e.g., precipitation extremes
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not. Our vision is
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. The Eindhoven University of Technology recognizes a crucial paradigm shift, from intensitymodulated to coherent transmission, necessary in next generation FSO communication systems to provide high throughputs
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are a collaborative group that investigates the neural processes that underlie human cognitive functions, including perception, attention, emotion, memory, learning, language and neurocognitive
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rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg