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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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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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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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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
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Preparation of organic monolayers with controlled
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Underwater Vision Profiler or the ZooScan, as well as an increase number of software packages to process and control the quality of the data generated by the instruments, sort images taxonomically (https
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and publication, with members of the MORA team at GANIL • Development of a motorised mirror system at Jyväskylä, enabling control of the transverse components of ion polarisation – evaluation