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approaches to avoid costly design and fabrication cycles for the optimization of these circuits are possible, in particular the use of Look-Up-Table (LUT)-based techniques that exploit the characterization
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for their functions in PDE, or co-precipitation with known PDE factors, which could not recover transient and/or unstable interactors. To overcome these limitations, this project aims to a) optimize Cas13-based gene
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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, optimization, dynamic systems, decision theory, Bayesian inference) ● Is motivated to apply these methods to ecological, evolutionary, and conservation systems; ● Is comfortable with uncertainty, modeling
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optimize the coupling between the expansion machine and the generator; study the sensitivity to design parameters (bore, stroke, valve, alternator structure) and operational parameters. Task 2: Mechanical
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hybrid systems combining DES and conventional extractants with a view to achieving synergies in terms of efficiency. • Optimize operating conditions (ultrasound, microwave activation) to improve
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active material at the voxel level– except for certain composite hydrogels and materials with a high coefficient of thermal expansion – which demands specific deposition orientation for optimal performance
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department at IETR in inkjet-printed OTFT fabrication and is part of the ANR-funded SMOOTH (Stable Metal-free Organic transistOrs Thanks to Homojunction) project, which will start in February 2025 and run
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than conventional structures. Superstructure optimization, which uses a predefined architecture with numerous unit operations and possible paths, offers an alternative for identifying non-intuitive