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requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand
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reactions for the systematic evaluation of the activity, selectivity, and durability, aiming to find the experimental conditions for optimal performance. Ex-situ and operando spectroscopy will be performed in
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deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
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with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers
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; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized
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to take ownership of the full development cycle of next-generation heat exchangers, from generative design and numerical optimization to manufacturing, experimental validation, and performance assessment
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, process optimization, or intensification. This work must be part of a circular engineering approach focused on the integral valorization of resources, while ensuring optimal energy efficiency. Last but not
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of technology (UT), is ranked among the top French engineering schools in a number of national rankings, and offers a particularly favorable environment for teaching and research. https://www.utc.fr/en
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to monitor lysosomal cathepsins and legumain in immune cells and neurons, and optimization of their use in mass cytometry platforms. Establishment and maintenance of iPSC‑derived neuronal and glial cultures
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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and