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Home EMA The European Magnetism Association Executive Board General Council Documents Membership EMA news Communication Social Networks Mailing Event Dissemination Rules All news EMA editorials Obituaries Awards beyond EMA Materials 2023 survey Commitments Young EMA EMA Awards Technical...
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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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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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, 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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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or equivalent in statistics, bioinformatics, applied mathematics, or a related field is required. Professional experience in research or research support in biostatistics, bioinformatics, or biological data
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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