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. The DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of heat transport within noobed electrode microstructures, to then
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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approach for OFR, building further on existing methods; (2) quantify the value of OFR in Luxembourg ; (3) quantify the impact of forest disturbances on the OFR supply and value; (4) estimate the supply and
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methods and solutions and in architectures and systems that support the development of such systems Publish research results and present them at international conferences Contribute to reports and research
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 29 days ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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require the ability to craft research protocols, supervise, and/or train other research staff or students. Key Responsibilities/Duties 1). Conduct research and independent development of multiple projects 2
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activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support the
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at addressing a new class of outstanding PhD researchers from all over the world. Successful candidates will receive multiple doctoral diplomas. Course organisation The EDLE programme is carried out with
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk