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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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scale and are most often organized at different size scales. They present a great diversity of forms (nanoparticles, porous media, confined fluids, colloids, multimaterials, self-organized media) and
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Chronic pain affects millions of people and is often poorly served by current treatments. You will join a project testing a new non-drug approach that combines different sensory stimulation
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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: Support the RE-STEEL project research team in the main research tasks. Functions to be developed: Define basic structural reliability curves for different reference periods. Participate in the SHM strategy
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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selected candidate will investigate how aerosols influence cirrus clouds from regional to hemispheric scales. The work will involve implementing and testing different ice nucleation schemes in regional
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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experience in bioinformatics (UNIX environments, R/Python, etc.) Desirable but not required/ Nice to have · Experience working with Nextflow pipelines Education and training · A PhD in Biology (or