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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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Interstellar Chiral Molecules – from amorphous interstellar ices to evolved planetary systems Objective: We are seeking a motivated and skilled doctoral student to join our team at the Institut de
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). Despite its innovative nature, the project is grounded in complementary expertise and strong collaboration between the partners, ensuring feasibility and successful integration of hydrogels with organ
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closely with bioinformaticians, immunologists, and diabetologists to ensure integrated analysis and interpretation; Prepare scientific manuscripts for publication and present findings at national and
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis