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computational reconstruction methods based on AI (deep learning) and/or compressed sensing. The envisioned imaging system will be based on a hybrid open-top light sheet microscope recently implemented in our lab
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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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Audiology (CERIAH), led by Professor Paul Avan, within the Institut de l’Audition at the Pasteur Institute in Paris, France. As part of a structuring program at the intersection of scientific research
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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