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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
critical electronic changes governing CO₂ capture under realistic conditions, providing the essential scientific insights needed to design more efficient, durable, and optimized materials for fighting
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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countries (HIC). The airm of this PhD project is to understand how E. coli colonization contributes tot he risk of diarrheal disease and infections with AMR and use this knowledge to design interventions
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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in monitoring health and comfort data in the context of intelligent systems. 3. Work Plan: i) Develop
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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, you design various components of the research. You conduct research that results in a dissertation and aligns with the objectives and requirements of the project. You perform quantitative data analysis
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protein design, with a focus on the development of biosensors for antibiotics. The position is available immediately or by mutual agreement. The project As part of the Swiss National Competence Center in
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on facility location, storage, processing capacity, procurement, and inventory management. The project combines: stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and
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is to obtain imaging methods that are more robust and computationally efficient, while also providing a natural framework for uncertainty quantification and experimental design. A central question is