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for Nanoscience & Nanotechnology, has developed a strong expertise in harnessing light-matter interaction at the most fundamental level. We develop crucial resources for optical quantum technologies, including high
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. The Laboratory of Molecular Innovation and Applications (LIMA, UMR 7042) is a joint research unit affiliated with CNRS, the University of Upper Alsace, and the University of Strasbourg, with sites in Mulhouse and
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Shell Model with Continuum and its extensions to construct high-fidelity microscopic optical potentials, designed for use in few-body reaction formalisms, in particular Faddeev-type calculations targeting
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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collections, enabling both fundamental and translational research in close interaction with the Strasbourg University Hospitals and IHU of Strasbourg. We investigate the contribution of inhibition of histone
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heterostructure. These spins can be manipulated electrically owing to the intrinsic (or to a synthetic) spin-orbit coupling, and get entangled through exchange interactions, allowing for the implementation of a
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. Interactions with interdisciplinary teams will be encouraged to integrate biophysical and quantitative approaches. The candidate may also contribute to the supervision of students and trainees involved in
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preparation of scientific publications related to the project. The postdoc will work in close collaboration with a network of bioinformaticians specializing in the design and development of data analysis
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biofluids, tissues and faeces hydrophilic interaction (HILIC) and reverse phase (C18) chromatographies and high-resolution mass spectrometry • Development of targeted isotopic quantification methods
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform