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compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and
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the complexity of decoding techniques based on Guessing Random Additive Noise Decoding (GRAND) applied to short block codes. The techniques to be implemented should leverage the structures and properties
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interoperability of charger with marine EVs and ensure compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 11 days ago
a high-performance MPC prototype adapted to medical constraints. Key tasks include: Optimizing the illumination and detection systems, along with associated optics, to maximize signal-to-noise ratio
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an efficient design methodology and materials to control noise using environmentally sustainable materials. The proposed research project encompasses a range of interdisciplinary challenges, including acoustics
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design, integration, and optimisation of precision opto-mechanical systems, including thermal management, vibration isolation, structural stability, and housing for advanced laser platforms. You will also
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) Density functional theory (desirable) Spectroelectrochemistry and vibrational spectroscopy (desirable) Proven commitment to proactively keeping up to date with discipline knowledge and developments
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Loud noise levels - Occasional Up to 3 Hours Marked changes in humidity or temperature - Frequent 3 to 6 Hours Microwave/Radiation - Occasional Up to 3 Hours Operating motor vehicles and/or equipment
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noise, allowing only specific algorithms with relatively shallow quantum circuits to be executed. In the NISQ era, hybrid algorithms run partially on quantum computers and partially on classical computers
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the project we will focus on characterization of offshore noise that might impact the DAS data and develop methods for reducing the impact of such noise. Mathematical methods to enhance and ease detection