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in a living organism, especially when the damage occurs repeatedly over a lifespan. The central hypothesis of this PhD project is that repeated temporary threshold shifts interfere with tip link repair
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in humans. The central objectives of this PhD project are to i) demonstrate that tip link rupture contributes, at least in part, to TTS in noise-exposed mice; ii) characterize the kinetics of tip link
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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of 4 months. Phd possibility : This internship may lead to a PhD position for motivated candidates. Contact : dbc-epi-recrutement@pasteur.fr References : [1]: C. Eschbach et al, Nature Neuroscience
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI, computer science, population biology or a similarly quantitative discipline
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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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