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the laboratory and field studies, including the development and pilot testing of experimental designs, measurement methods and study protocols. Conducting visual tests and computer-based tasks under different
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
the implicit solution surface of these equations. For further information on the proposed research topic: A state-of-the-art review, bibliography, and scientific references are available at: https
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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an open-source programming language, including spatial data processing, quality checks and visualizations. Supporting the principal investigator in supervising PhD students. Collaborating with other
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. Ke can be found at https://sites.google.com/view/kejintao . Requirements Candidates should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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, chemical screening, structural biology, or mouse models. R, Python, statistical analysis, bioinformatics, large-scale data integration, or data visualization. Applicants with complementary experimental
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models