116 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions in France
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developed so far to more general geometric settings, including discontinuous coefficients, obstacles with Dirichlet or Neumann boundary conditions, and possibly manifolds. Details on the scientific project
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The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma
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, pharmacology, cell and developmental biology, and agrosciences to understand the roles & regulatory principles of biological networks in the development and function of organs and organisms as well as in human
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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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neurons and behavior. However, extracting meaningful insights from extensive and noisy recordings necessitates the development of new, statistically robust methodologies. Recent experimental studies
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for the European Higher Education Area ) in pharmacy, chemistry or a similar subject and a minimum of 4 years’ professional experience in a similar role (e.g. developing and/or maintaining stakeholder engagement
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knowledge of the angular degrees of freedom the direct connectivity, we have shown that missing connections can be predicted reliably [Z]. Second, we have developed novel sampling strategies in torsion angle
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), Nix (https://nixos.org) and Spack (https://spack.io). In direct contact with the development teams of these tools, with the supercomputer administration teams, and with our foreign counterparts
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mechanoelectrical feedback, it requires specific tools to uncouple them and to decode the transformation of complex acoustic stimuli by the brain. In the lab, we are developing electrophysiological and imaging
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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