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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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Lung cancers are caused by tobacco smoking but there is a genetic susceptibility to their development, notably through a missense mutation in the a5 nicotinic receptor gene, carried by 30% of the European population. While it was discovered 15 years ago, the effect of this mutation is still not...
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learning inference on HPC or cloud clusters. Contribute to developing an open-source platform that supports FAIR data management and reproducible research. Your Profile Strong experience in Python, software
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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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
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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We are recruiting a Postdoctoral Researcher to join an internationally funded, collaborative research program focused on Plasmodium falciparum liver-stage infection. The project seeks to identify
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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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