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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 days ago
solution for deploying accessible embedded AI-based real-time audio DSP systems will be explored. Smartphones provide a large amount of computational power (including AI accelerators in some recent models
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, Mechanical, Electrical or a related field) Solid background in the energy domain, ideally with experience in various energy forms (electrical, thermal, etc.) Interest and skills in numerical modelling Fluency
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according to TV-L • Flexible for families: flexible working time models, the option of a place in the company day-care center and offers for those returning from parental leave • Provision for later
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and numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international
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of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science
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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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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in