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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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in scientific programming, particularly in Python and C++ LanguagesENGLISHLevelGood Additional Information Selection process Candidate will have to submit the following documents: Detailed and updated
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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(60), 40 min north of Paris, France: 2nd and 3rd years of the PhD Contacts: alexandre.albinet@ineris.fr marievirginie.salvia@univ-perp.fr Link: PhD offer_PFAhiStory_INERIS_UPVD_english www.ineris.fr
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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sebastien.fiorucci@univ-cotedazur.fr Requirements Research FieldChemistry » Computational chemistryEducation LevelMaster Degree or equivalent Skills/Qualifications §you possess a master degree in computational
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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collaborative robotics at UTTOP, Univ. of Toulouse, France. Bellow the information about the PhD and the application (deadline March 30th ) Title:Online mobile human–robot co-manipulation using multi-view