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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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and several natural isoforms (see Figure). Their mechanism targets lipopolysaccharide (LPS), with a 3D structure stabilized upon LPS binding, paving the way for effective, and low-toxicity analogs. In
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reactive CO2 capture systems with structural flexibility, tunable surface properties, thermal stability, and high metal dispersion for the conversion of CO2 into methanol and C2+ alcohols. The research will
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related to Mathematics and Physics, and specifically to the field of geometric and topological structures. Demonstrable experince in University for at least 5 years, and authorship of, at least, 5
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. • Experience in assembling, adapting and maintaining experimental devices, sensors, chambers, field structures or other environmental monitoring equipment. • Good organizational skills, autonomy and problem
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-candidate-organoid-models-t… Requirements Specific Requirements Profile You have an independent and well‑structured working style, combined with a strong ambition to succeed in scientific research. You bring
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-chemical characterisation of their textural, structural, optical and catalytic properties resulting from the plasmonic activation of the nanostructures. The second component will involve the development and
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, this research project will initially involve creating a library of MOFs exhibiting the widest possible range of physicochemical and structural properties. A synthesis robot will then be used to design
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in the first step of the reaction. The objective here is to characterise the structure and physico-chemical properties of these intermediates, especially their local electrophilicity and their NMR
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scaled up to industrial production. - Development of purification and separation methods - Structural and textural characterization of porous materials - Performance measurements in gas separation tests