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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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for automatic process generation. Generative approaches, using deep learning algorithms, can generate new process structures, surpassing conventional optimization techniques. Objectives of the ATHENA project
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. Brinkmann) • Ink formulation and printing process optimization: IETR Rennes (Maxime Harnois, Emanuel Jacques and Fabien LUCAS) The research will focus on: • Formulating and optimizing dopant inks for printed
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Matter Chemistry (ICMCB) focuses its research on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 8 days ago
. PhD Topic AI-based real-time embedded audio Digital Signal Processing (DSP) is an emerging field which promises to revolutionize our daily life. Embedded real-time audio DSP can be found in hearing aids
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. For these two reasons, it is essential to monitor the injection process parameters in real time in order to adapt to the rheological behavior of recycled polymers, with the aim of ensuring optimal and repeatable
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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exascale applications. These patterns will be addressed iteratively through an agile co-design and co-development process with the application community. Exa-DI is seeking highly motivated researchers with a
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with a 5-year survival <10%. PDAC is notoriously difficult to treat due to its resistance to many therapies, and its characteristic dense stromal microenvironment. Therefore, there is an urgent need
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accelerate Europe’s energy transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible