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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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in epitaxial growth, reactor operation, and parameter optimization, as well as a keen interest in associated characterization techniques. Through the expected publication of the results in
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research unit of CNRS, Grenoble INP, and Université Grenoble Alpes, is a center of excellence in materials science and innovative processes. It spans diverse fields—from metallurgy to nanomaterials and
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signals. Excessive sound can rupture tip links, silencing the hair cell. In vitro studies show that tip links can re grow within 24–48 hours[4,5], but little is known about how this repair process behaves
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) focuses its research on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific
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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
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, glycogen and future gonads of males and females. The results will allow for a better understanding of the reproductive processes in this insect within the fundamental context of sexual selection. It will
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-based LOCs and to explore the use of other biopolymers (dextran, alginate) in order to propose a fully eco-friendly manufacturing process. This will involve optimizing the formulation and manufacturing
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). The successful candidate will contribute to the development, optimization, and application of PET-CT imaging protocols for small animal models included in quantitative multi-imaging modalities. Responsibilities
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skills: Python programming; solid background in optimization and/or inverse problems; strong interest in signal processing, experimental data and physics-based modelling. • Important assets: experience