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experience in environmental molecular biology and metagenomic data analysis. Skills in bioinformatics (R, Python, omics data analysis) are highly desirable. The ability to work independently while engaging in
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differentiation of mESCs and/or hESCs. • Advanced imaging techniques: confocal microscopy, immunofluorescence. • Molecular biology techniques: cloning • Experience in data analysis (Fiji, Python, etc.) Website for
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, laboratory work, GIS analysis and programming. Work context The proposed thesis is part of work package 2 of the ANR FaSiRé (Archeo-seismicity) project, led by C. Perrin. The work will involve: - image
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efficiency). - Contributing to scientific validation, writing publications, and disseminating results. - Software development (C++/Python) in a ROS 2 environment and robotics simulators. - Integration
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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a related field, - Strong expertise in numerical modeling and simulation, - Excellent command of scientific programming (Fortran, MATLAB; additional experience with Python or C++ is an asset
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of programming and operating systems (Python, Arduino, Linux), - Ability to work effectively in a collaborative and interdisciplinary environment, - English proficiency: Applicants must have excellent English
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tools in python to develop innovative algorithms. • Optical engineering: Collaborate with an optical engineer to integrate an IFS prototype on the THD2 experimental testbed. • Experimental physics
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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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, particularly deep learning and reinforcement learning. • Interest in experimental instrumentation and real-world validation. • Advanced scientific programming skills, particularly in Python (knowledge of C/C