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                Employer- CNRS
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Universite de Montpellier
- Université Savoie Mont Blanc
- Aix-Marseille Université
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- IMT - Atlantique
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITE PARIS CITE
- Université de Caen Normandie
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                Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various 
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                includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy 
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                of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret 
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                background in microalgal or microbial cultivation, photobioreactor operation, and process control. Knowledge of bioprocess design, hydrodynamics, or model-based optimization. Understanding of microbial stress 
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                optimize the UV micro-photoluminescence setup. Perform optical and cryogenic tests. Develop the software for control of the instruments and data acquisition based on PyModAq, Where to apply E-mail 
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                of the operating conditions and local environment conditions The proposed activity is part of the TOSCaNA project (Flame Spray Pyrolysis of metal-oxides: TOward Size and morphological Control of flame-synthesized 
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                the hypothesis that the plant (WP1), bacterial community (WP2), soil organomineral association (WP3) continuum can, while meeting agronomic requirements (WP4), be optimized to increase soil carbon sequestration 
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                control and energy management strategies, including centralized / distributed control approaches, for ESS coordination and ancillary service delivery. Develop optimization algorithms and Al-based methods 
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                , so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation 
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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 Optimization of growth and validation of material