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for the modulation of their optical properties under an applied voltage. The EC- LIPSE projet concerns the eco-design and development of innovative sustainable methods for the fabrication of efficient optically active
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development and metal speciation would be a plus. The candidate must have a good level of English and the ability to work independently. Implementation of advanced speciation methods for the study of selenium
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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acid, diglycolic acid and heterocyclic (bipyridine, quinoline) derivatives. These ligands should selectively coordinate Pd as our main element target. Sorption of other pollutant Our porous hybrid
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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recombinant form with cutting-edge methods. - To implement methods for immunisation and production of monoclonal antibodies and nanobodies against the different PLA2 antigens. - To characterize the molecular
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are minimally invasive, orally delivered medical devices that traverse the gastrointestinal tract, using electronic, mechanical, or smart material elements for diagnosis, therapy, surgery, or sampling
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The researcher will study the potential of atto-photochemistry on organic or inorganic photoinduced reactions. He or she will use quantum chemistry and molecular dynamics methods to do so. The overall objective is
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strong interest in developing new, rapid, and efficient methods for protein functionalization with CS, as a complement to current enzymatic or metabolic engineering approaches, which are generally limited
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green alga, and consist of the RAF1, RBCX, and RAF2 chaperones, whereas the land plant-specific factor BSD2 is absent. A main objective of the project is to better characterize the factors required