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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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). The institute notably has a proteomics platform and a bioinformatics platform that will be used for this project. The EGM unit employs 35 people grouped into 5 teams focused on the study of RNA and the control
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into the rhizosphere that can have a significant impact on the physicochemical conditions of the rhizospheric soil. These conditions control the mechanisms underlying the formation or destruction of organomineral
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to quantify energy exchanges (work, heat), understand the temperature evolution of the resonator, and interpret the role of information when the system is subject to feedback control. The project
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such as CASTEP, VASP, Quantum ESPRESSO, xtb, etc.) and in Machine-Learned Potentials (MLIP) approaches; - Excellent command of Python programming languages (and ideally C++ or Fortran) as well as the Unix
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Information Eligibility criteria - PhD in functional ecology - Good command of the following subjects: functional ecology, root system ecology, organism diversity, soil and ecosystem functioning - Very good
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camera, 2) design of a new optical system for polarization modulation of incident light, 3) development of electronic control for the image acquisition. 4) optimization of the illumination and detection
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep
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of Neural Networks" team studies the mechanisms of information integration in neural networks, particularly in motor control structures. The work will be performed under the supervision of Dr. Antoine Valera
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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct