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nonlinearities, reinforcement learning for predictive control, and digital twins to bridge simulation and real-world deployment. The next step is on-sky demonstration, supported by access to telecom and astronomy
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-page cover letter linking your interest in the project to your research experience and skills, (2) a full CV (including a complete list of publications), (3) a copy of your doctoral diploma and (4) two
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spectroscopy analyzes will also be carried out. Microstructural parameters deduced from characterizations performed by partners of the project and electrochemical responses will be simulated using digital twins
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within the LTCI laboratory, specializing in the design and security of integrated and embedded systems. Its work focuses on modeling, simulation, and automatic code generation to facilitate the design of
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spectroscopy (XPS), Ellipsometry and Raman spectroscopy • Experience in clean room microfabrication • Experience in electrical measurements of materials and memristive devices • Numerical simulation skills (e.g
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cross-validation and simulation-based checks; document performance and limitations. * Software engineering: contribute maintainable code to laMEG; add unit/integration tests and continuous integration
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‑chemical calculations on organic small molecules and π‑conjugated systems. • Conduct periodic DFT simulations to explore electronic band structures and transport. • Analyse charge transport, thermoelectric
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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of aerosol and soil particles based on simulation chamber experiments and soil spectral and directional reflectance measurements. This is a prerequisite for improving the representation of the mineral dust
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Centre de Nanosciences et de Nanotechnologies | Palaiseau, le de France | France | about 1 month ago
: - theoretical study, optical and electro-optical simulations, device designs - clean room fabrication including definition of process flows, and mask designs - experimental characterizations of passive and active