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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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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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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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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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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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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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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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of multi-material integrated FFF/FGF/DIW-based workflow for monolithic rapid fabrication (possibly integrated with auxiliary photonic and/or thermal in-situ processing), DfAM and simulation-based design, 3D
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extension up to 4 years). Annual gross salary: will correspond to the standards of IMDEA Nanociencia for PhD students. Work-life balance measures: IMDEA Nanociencia has implemented a Gender Equality Plan that
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of adversity Show curiosity and a strong motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan