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learning, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference
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methodological and conceptual development, and data analysis. design, develop and deliver methodological strategies and undertake appropriate field research to collect qualitative data through techniques including
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and conceptual development, and data analysis. design, develop and deliver methodological strategies and undertake appropriate field research to collect qualitative data through techniques including
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. With minimal hierarchical barriers, you will benefit from strong supervision and tailored training. Professional and personal development are central, enabling you to grow and succeed in academia. Job
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private partners on the development of multifunctional biopolyester additives replacing PFAS and plastic in paper packaging. Post-doc: Multifunctional Biopolyester additive replacing PFAS and plastic in
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cities and WP leads, to evaluate impacts on grid stability, mobility performance, and energy use. To assess the impacts, you will lead the development of an integrated simulation framework to assess how
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), centered around the development of cutting-edge optomechanical sensors. The position is embedded within QSTeM, a recently established Testbed for mechanical sensing, where novel sensors are designed
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also offer to our students. Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training
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damage evolution from pristine to end-of-life and establishing ground truth via inspections. Develop deep learning pipelines for fault detection, damage-type classification, health indicator extraction
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and to the development of Decision Support Systems. The focus of the position is the Lasers4MaaS project (https://lasers4maas.eu/) , which will deliver a digital platform to enable manufacturers to make