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exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will be working on the development of machine learning methods for single-cell data. In
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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scientists (post-docs, PhD students, engineers) with deep expertise in mass spectrometric method development. Instrumentation: Exclusive access to a unique range of state-of-the-art mass spectrometers
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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
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exploited by the tumorigenic process. Candidate profiles We are seeking highly motivated candidates with: A PhD (or near completion) in cancer biology, immunology, cell/molecular biology, or related fields. A
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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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interactome techniques. Expected profile: The applicant should have a PhD in cellular biology or neurobiology. Experience in molecular biology, primary culture maintenance and/or CRISPR technology and/or
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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