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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
alternative mechanisms and distributed compliance. This PhD thesis aims to propose, model, and compare different mechatronic propositions through both simulation-based evaluation and experimental calibration
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essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential. Demonstrated strong proficiency in programming (e.g., Python, PyTorch
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the commencement of R&D on cryogenic PHPs at LCSE. Parametric investigations of PHPs with different cryogenics fluids (helium, neon, nitrogen and argon), varying lengths and capillary tube diameters have been
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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to experimental results. Excellent programming skills (e.g. C, Python). Excellent communication skills in oral and written English and Dutch. Strong initiative and excellent time management skills. Open to
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, interpretability) to ensure equitable performance across diverse populations and compliance with regulatory expectations. Advancing methods for personalized risk assessments, with a focus on sex/gender differences
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play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6 000 employees from 100 different countries
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different incentives, mechanisms and regulatory scenarios, evaluating their performance with respect to different objectives and their trade-offs. Developing decentralized and bi-level algorithms to help
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understanding of microstructure-property relationships in materials systems in the presence of different stimuli close to operational conditions. Such knowledge is crucial for designing advanced materials with
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international and most innovative employers in the region. With more than 6 000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push