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Description The PhD student will join the T4-SECRET team (https://igdr.univ-rennes.fr/en/t4-secret-group-kevin-mace ), a young and dynamic group specialised in the structural and mechanistic study of Type IV
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, with a dynamic international exposure animated by regular seminars and meetings. The Laboratoire de Biochimie Théorique (LBT) is internationally recognized for developing and applying computational
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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
Mulhouse, a joint CNRS-University of Haute-Alsace research unit (UMR 7361). This laboratory is one of the structuring forces of the landscape of materials and their applications in the academic and
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to these structures to cross the bacterial envelope and ensure the injection of its genome into the host. This ANR-funded project aims to unravel the molecular events and dynamics of the infection process of
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photoexcitation or a 'probe' to study relaxation dynamics in excited states. The Multiscale Structure & Dynamics of Complex Molecules (DYNAMO) team at the Institut Lumiere Matiere in Lyon uses these XUV pulses
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, biogenesis, dynamics and its mechanism of action. The PhD student will use approaches of biochemistry, biophysics, molecular biology, proximity labeling, structural biology and fluorescence microscopy. Where
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of proof assistant technology capable of understanding the dynamical linguistic structures found in current high-level mathematical texts. The project includes the study of interpretation mechanisms
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of neural circuits essential for adaptation. The successful candidate will explore the dynamics of neural populations in key brain regions for decision-making and behavioral control: the frontal cortex and
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. The research will be conducted mostly at Dev2A and occasionally at ICAN. The liver presents a remarkable regenerative capability, allowing it to restore its mass, structure, and functional stability following
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, and everyday observations of communities, these approaches can enrich scientific problematizations, hypotheses, and knowledge, facilitate the co-construction of context-sensitive risk management