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value-added materials. Objectives of the PhD The PhD candidate will focus on designing and optimizing green spinning processes for lignin-based fibers, relying exclusively on enzymes and water, avoiding
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on the use of zeolites as sacrificial templates to obtain structured carbon nitrides. These materials are expected to combine very high surface areas, controlled microporosity, and a high density of defects
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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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mechanical motion into electricity; - An intelligent electronic control system, enabling optimized regulation of the thermodynamic cycle. Within the CALIFORCE3 framework, the REMLA system will be integrated
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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of front-end electronics and miniature RF antennas for chronic implantation. You will prototype and characterize the wireless link (power + sensing), design and optimize sensor-resonator coupling, and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
small batteries do remain to be overtaken. These challenges can be summarized as: (i) computational efficiency/optimization, (ii) power efficiency, (iii) audio latency, and (iv) programmability
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the structure of the BMP1/PCPE2 complex by cryo-electron microscopy with the help of previously developed Nanobodies® to stabilize flexible regions. Finally, we will engineer an optimized inhibitor of BMP1 with
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
industrial process control remains under-explored; the current approach relies on statistical tests or conventional machine learning. One of the manufacturing processes addressed in this thesis is injection