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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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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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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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, 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
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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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on datasets (previous experience in SPSS, STATA, or R is an advantage); Experience in using literature reference management software tools including Endnote; Good writing skills in English. The understanding
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area Travel to Nîmes (the model city) is to be expected. Knowledge of statistical analysis and modelling, analysis of complex networks, statistical mechanics Knowledge of R, Qgis, GIS software and
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data generated by PEPR project collaborators. This includes: Developing a reproducible analysis approach implemented in R. Interacting directly with project collaborators based in Lyon (mainly remotely