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researcher in the context of a multidisciplinary project to classify materials in waste streams, including using X-rays. The goal is to optimally use the spectral capacities of a new generation of X-ray
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of the native lipids that are extracted alongside the proteins. A range of different polymers are used but the protein extraction mechanism is not well understood. The interaction of nanodiscs with interfaces
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holding a PhD in chemistry, materials science, engineering, or a related discipline, with a proven track record of high-quality, independent research. Responsibilities: Design and carry out organic and
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view to their optimization. By taking advantage of the combination of different materials, the aim is to obtain films with electrical properties optimized for health monitoring. The BIPD are restricted
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stability, self-assembly, and bacteriophage research. The project will establish structure-property-function relationships, guiding the development of optimized polymeric stabilizers tailored to different
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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. Involvement in combining Techno-Economic Assessment (TEA) and Real Options Analysis (ROA) to address different types of market uncertainty, such as price fluctuations and determine optimal investment timing
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: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
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-supervising master and PhD students Applicants should demonstrate: Strong experience in techno-economic modelling and system optimization Solid understanding of CCUS Experience with energy system modelling and
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the Commencing CRISPR Commons project, funded by the Gates Foundation, which aims to establish a plant‑optimized, freedom‑to‑operate genome editing platform based on the ThermoCas9 nuclease. CRISPR/Cas systems