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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 11 days ago
Python, C/C++. • Possible co-supervision of Master’s and/or PhD’s students (on a similar topic). Where to apply E-mail Florent.Autrusseau@univ-nantes.fr Requirements Research FieldComputer scienceEducation
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor to project presentations and publications
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(Bioconductor), MATLAB (Biologia computacional), Python (ex. pyCOBRA, pyMEW) e Bioiformatica para pesquisa em bases de dados. - Integração multiomica (ex. HPLC, GCMS)). - Agricultura de precisão. -Precision and
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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Required Related Experience R, Python or SAS, statistical analytics experience Required License/Registration/Certification None Physical Requirements Sitting for extended periods of time Shift Typically
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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using R and/or Python for answering biological questions Strong commitment to research in a collaborative environment Enthusiastic and friendly personality WE OFFER: An international, multidisciplinary
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or