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or later depending on your availability. Activities : design of a new mathematical method monitoring and study of publications relevant to the field programming/coding in Python (Pytorch) presentation
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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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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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are developing methods and tools to explore and understand immunity across domains of life, from genomics to experimental work in various model organisms. The role of the engineer will be to consolidate, update
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analysis methods. In addition, the candidate will be responsible for the long-term maintenance of the team’s GitHub repositories and for addressing issues related to the tools developed by the team
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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