14 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Dr"-"UCL" positions at Institut Pasteur
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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spoken and written is required. The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/ ) at Institut Pasteur, led by Laura
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Presbycusis, age related hearing loss, is one of the most common chronic disabilities in older adults, affecting roughly one third of people by age 65 and more than half by age 75[1]. The loss
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The Bikard lab at Institut Pasteur in Paris is seeking to hire postdoctoral researchers. We are investigating bacteria / bacteriophages interactions, and the genetic innovation that happens
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host determinants of infection to inform the development of translational malaria prevention strategies. The postdoctoral fellow will contribute to loss-of-function and image-based high-throughput
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of the laboratory Our laboratory is part of the Neuroscience Department of the Institut Pasteur and gathers psychiatrists, neuroscientists and geneticists to understand the causes of autism. We previously identified
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transmitted by the middle ear and are responsible for sensitivity to low-intensity sounds. Inner hair cells (IHCs) form synaptic contacts with auditory nerve afferents and transmit auditory information
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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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prediction, uncertainty, and learning in real-world stimuli and track how they are encoded in neural data Develop tools to be used in audiological clinical to diagnose patients based on naturalistic