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Field
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nanocores and developing final nanoformulations with antimicrobial activity; optimising the synthesis conditions, composition and properties of the obtained nanomaterials; performing physicochemical
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which perturb the wall change its chemistry and its mechanical stiffness at the same time, so the activating signal cannot be identified by observation alone. This project addresses that question in
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the start date. Job description This opportunity is positioned at the heart of a collaboration between Aarhus University, EPFL and DTU to understand microbiological mechanisms underpinning the Greenland Ice
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that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized
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across tissues and how this propagation relates to active sensing rather than passive mechanical spread. Optogenetic and inducible genetic tools will be used to generate defined perturbations of pectin
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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applications. Closely coupled with the AM powder processing will be development of next generation alloys and composites for AM. The selected candidate is expected to have experience in areas such as: processing
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of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and