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. The project sits at the intersection of machine learning, neuroscience, and behavior, with applications ranging from music cognition to speech-in-noise perception in audiology. You will work with naturalistic
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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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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 is mostly used to make the site work as you expect it to. The information does not usually...
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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, and how such interplay impacts brain development (eg. gene expression) and leads to different types of autism. Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr , with
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to cutting-edge facilities and interdisciplinary collaborations. Mentorship and career development support, including networking and grant-writing opportunities. How to Apply Please send a single PDF including
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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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, 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