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nanomaterials would be particularly appreciated. An interest in interdisciplinary approaches at the interface of chemistry, nanoscience, and biology is also highly desirable. Where to apply Website https
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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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expertise in materials science and, if possible, in electrochemistry, along with a knack for collaborative work. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7314-EMMBAU0-007/Default.aspx
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explore strategies to preserve or restore functional hematopoiesis. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7284-EIRTRO-012/Default.aspx Requirements Research FieldBiological
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computer, virtual data storage, and access to software tools for specialized data analysis (e.g., Cryo-EM data, crystallography, etc.). Structural microbiology: Exopolysaccharide secretion and host
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset