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wet-lab and dry-lab scientists in experimental design and sample collection for optimal analyses. Presentation of the progress of the project to team members. Attendance to international conferences
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are expected to lead to optimized textiles used for medical and sports applications. This PhD thesis concerns exclusively the tribological part. Projet dans le cadre d'un projet franco-suisse ANR/FNS (en attente
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optimal patient care and appropriate follow-up: clinical examination, electroencephalographic (EEG) recordings, magnetic resonance imaging (MRI), etc. Scalp EEG remains the most widely used examination
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metrological performance of the ASIC/detector system. Optimizing the signal-to-noise ratio (SNR) is therefore a key focus of the study, particularly as it must be achieved in conjunction with optimizing speed
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of unlearning in artificial systems. Unlearning is crucial for biological organisms to adapt and remain flexible in dynamic environments, as well as for machines to optimize output integrity by shedding outdated
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. This innovative converter, with ~680 μW power consumption, 0–5 GHz bandwidth, and 25 GHz sampling capability, will be adapted and optimized for cryogenic quantum instrumentation. The thesis objective is to design
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to optimize algorithms for real-time applications, which will also be valued. Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité
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for optimized management of water resources in a context of global change. Your missions will focus on: - Initiate, manage and implement national and international projects to disseminate and promote water data
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of optimal plasma parameters (exposure time, power, gas composition) before their application to more complex cellular models. In a second stage, the PhD student will develop models of chronic infected wounds
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
seismic modeling. Improved imaging accuracy: High-order spectral methods reduce numerical dispersion, crucial for high-frequency content in FWI. HPC readiness: The solver design will be optimized for modern