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which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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immune cells in Alzheimer’s disease. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution of adaptive immune
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co-managed by two deputies: Christian Vestergaard, a theoretical physicist, and François Laurent, an applied mathematician and software engineer. The laboratory’s research is centred on uncovering
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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signatures. We hypothesize that this unique program may represent an ancient state of some skeletal muscles fibres and be required for unique mechanical functions. This project aims to address the following
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are responsible for blood and immune cell production during development. We will now establish how these transient embryonic progenitors and their progeny respond to prenatal challenges, convey persistent
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Pasteur. Developing tools and applications to be shared with the broader scientific community Interacting directly with scientist upon specific inquiries As part of a PEPR (Programmes et Equipements
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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