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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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mass spectrometry and cheminformatics software and workflows, primarily for target and non-target metabolomics, exposomics and environmental analysis within the Environmental Cheminformatics Group and
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on scientific projects, submitted by research teams of our institute, to the Hub. Training scientific staff from the Institut Pasteur Paris or from other institutes of the international network of Instituts
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focusing on defensive actions or neuromodulation in small neural networks have revealed significant deviations in typical behavioral patterns among larva populations. These deviations either necessitate a
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is part of the NumPEx project (http://www.numpex.fr) which is endowed with more than 40 million euros over 6 years, starting from 2023. This project aims to build a software stack for Exascale
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, 2020, Proceedings, Part XIV 16. Springer, 2020, pp. 194–210. [8] C. Reading, A. Harakeh, J. Chae, and S. L. Waslander, “Categorical depth distribution network for monocular 3d object detection,” in
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with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both
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Organize training sessions Library packaging and deployment The successful candidate will master the following skills and knowledge: Proficiency in modern C++ (C++14 and above) Software engineering and
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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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