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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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for modelling infectious diseases epidemics. Kraemer et al, Nature 2025 New R package to easily reconstruct the history of pathogen circulation from age-stratified data. Hoze et al, PLoS Comp Biol, 2025 Using
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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multidisciplinary environment. Keywords ● Tibial plateau fracture ● Automatic segmentation ● Deep learning (AI) ● Surgical planning ● Orthopedic traumatology References 1. Elsoe R, Larsen P, Nielsen NP, Swenne J
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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singular value decomposition”, SIAM journal on Matrix Analysis and Applications, vol. 21, no. 4, 2000, pp. 1253-1278. [GOU20] J. H. M. Goulart, P. Marinho, R. C. Farias, V. Zarzoso and P. Comon, “Alternating
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, CRAN R). Offer The 3-years PhD will take place at INRIA Universit´e Cˆote d’Azur, in Sophia Antipolis (team MAASAI). The PhD project is conducted in close collaboration with the archaeology laboratories
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning