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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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Context and project: In all aspects of everyday life, there is a massive digitalization of systems that is increasingly important. One of the consequences of this phenomenon is the massive production of data, especially heterogenous data made of several data types (continuous, texts, images,...
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background in one of the following areas: Statistical Physics Applied Mathematics Statistics & Bayesian Inference Proficiency in Python is also expected. Contacts dbc-epi-recrutement at pasteur dot fr
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mathematically sound lifting of images to 3D. The second scientific challenge is the adaptation of the obtained LiDAR-VLM model in the range of 3D scene understanding tasks such as semantic segmentation, object