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of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
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/nanotechnologies, microelectronics or materials. • English language (B2 to C1). • Experience (projects or internships) linked with R&D and physical measurements will be welcome. Operational skills : • Listening
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knowledge of an interpreted language (Python, R, etc.), the knowledge of Netcdf format would be a plus, writing scientific articles (at least one publication as 1st author in a peer-reviewed journal
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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
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. Loubière, T. Neveux, R. Privat, and T. Nabil. “Representation Learning for Flowsheets: Generating Structures for Process Synthesis”. In: ESCAPE34- PSE24 Books of Abstracts. 2024, p. 01. doi: 10.3303/BOA2401
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. Good command of biostatistics (database management, use of R software) as well as an excellent level of English are essential. As eDNA data are amplified and sequenced independently, the involvement
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knowledge of the use of command line and programming (bash and R), -Strong skills in statistical analysis, -Good ability to work in a team, -Good command of English (reading, writing, speaking), -Good
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aerial manipulation. IEEE Robotics and Automation Letters, 3(3), 2478-2484. [3] S. Wasiela, M. Cognetti, P. R. Giordano, J. Cortés and T. Siméon, "Robust Motion Planning With Accuracy Optimization Based