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electronic technologies, combining high‑fidelity multiphysics modelling with modern data‑driven design methodologies. The successful candidate will help drive advances in: Broadband electromagnetic and multi
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, learning, and shared understanding in blue-collar workplaces. The project combines fieldwork in real-world settings with the design and evaluation of AI-driven tools. You will join an active, collaborative
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related to Riemann-Steltjes optimal control to combine PMP with Bayesian Optimisation, allowing for data-efficient learning. You will then implement and validate the new method on simulated fermentations
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this challenge by developing privacy-preserving data-sharing mechanisms and data-driven decision-support tools, and combining them in an end-to-end pipeline for sharing and exploiting high-quality data. A core
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-disciplinary. Faculty members have backgrounds in management, economics, sociology and economic geography. The theoretical foundation for research in these areas is eclectic, combining strategy, innovation, and
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qualifications Responsibilities: Combine enzyme and process engineering supported by machine learning as described above Participate in training events, workshops and secondments within MSCA doctoral network
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
therapeutic strategies. This PhD project investigates extracellular matrix-related mechanisms underlying liver fibrosis in BA through a combination of clinical, translational, and experimental approaches
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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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fabricated and experiments will be realized that require combination of low temperature optical spectroscopy techniques and electronic transport. We welcome candidates with a strong background in condensed
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This PhD explores light estimation and synthetic relighting of real scenes by combining generative deep learning with computer graphics. It aims to reduce issues such as hallucinations and temporal