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of biological samples in collaboration with partner teams. Expected profile: Physicist, engineer or computational scientist Strong motivation to work at the interface of physics/engineering/computer science and
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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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Shareloc and ImJoy (Ouyang et al., Nat. Methods 2022; Ouyang et al., Nat. Methods 2019), offers an ideal environment for creating tools that unite cutting-edge computation and biology. As part of the ERC
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of Paris, which contains state of-the-art facilities and a highly collaborative research environment with 13 Departments across Biology/Physics/Biomedical fields. Recent publications of the lab: PDGFRα
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those historically underrepresented in science. Career breaks (e.g. parental leave, caregiving, or health-related interruptions) will be fully taken into consideration during the evaluation process
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the newly formed unit Physics of Biological Function of biophysicist Thomas Gregor. We are interested in the following topics: Precision and reproducibility of developmental processes Collective properties
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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