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or computational ecology/paleoecology. Required know-how: Proficiency in at least one programming language (ArcPro, R, Perl, Python or equivalent). Experience with R packages ENM, paleopop, poem will be considered
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learning. Experience with deep learning algorithms for object segmentation/recognition is also welcome. Proficiency in C++ and Python. Proven track record of high-impact publications in related fields
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Environmental and Planetary Sciences, with experience in scientific computing and fluid mechanics - excellent knowledge of scientific programming (Python, Bash) - experience in Big Data and statistical analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
virtuous model. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-08677 Requirements Skills/Qualifications Software development: Java / Python / Web Cloud technology Teamwork
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experience with Python, Fortran or C++, and good practices in software development (e.g. versioning with Git). - Knowledge of Crystallography would be a bonus - You must have a sound knowledge of English and
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Information Eligibility criteria - Physics: good knowledge of particle physics analysis. - Programming: C++, ROOT, Python. - Technical skills: experience in DAQ and FELIX card development a bonus. - Language
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. Alternatively, you have a degree in Computer Science with demonstrated experience in working in a scientific environment or developing a scientific software. You have solid experience with Python, Fortran or C
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acquisition, and analysis for complex material systems. Strong programming skills for data processing and simulation (e.g. Python). Excellent communication skills, with a track record of publications and
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the interface between global, regional and local scales • Autonomy, creativity, reliability, ability to synthesize and work as part of a team • Computer skills: Unix, Python and R • English: very good oral and
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of large data bases via Matlab or Python applications would be highly appreaciated. Project description Supervisor: Giulio SCIARRA Keywords: Experimental geomechanics, clayey geomaterials, two-phasic flow