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Single-cell high-throughput sequencing technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning
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completing one) in biological mass spectrometry, proteomics, or structural biology, with demonstrated expertise in LC–MS/MS sample preparation and data analysis. While hands-on experience in cross-linking mass
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Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions
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, musical creation, and participatory science, Pasteur Institute, the Institute reConnect, and the Orchestre de Chambre de Paris are jointly developing a project exploring the links between auditory
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imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the Postdoctoral fellow She/he will analyze genetic data from different groups of individuals with
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Your Privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and
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Your Privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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, with a focus on solid tumors such as breast cancer and lung cancer. For more information and to apply, send a motivation letter, CV and contact information for 2 references to Lucie Peduto (lucie.peduto