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PhD thesis: Graph Neural Networks for Predicting Power Consumption in Digital Electronic Architectures Power consumption analysis is an important step in the development of a digital architecture
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of the energy efficiency of components and systems. Position description : The position is available within the Grenoble Electrical Engineering Laboratory (G2ELab), in the Power Electronics team
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computing and privacy in the digital world, but also in digital health and computational biology. Contexte et atouts du poste The PhD thesis will be held at Ecole Normale Supérieure (ENS-Lyon), in Lyon
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Application Deadline 15 May 2024 - 23:59 (Europe/Athens) Offer Description The position (PhD Candidate) is part of the MARIE Skłodowska-CURIE ACTIONS Doctoral Networks Industrial Doctorates (MSCA-DN
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of photovoltaic shadows, a backup storage system, a connection to the national network, a connection to the IC building and the necessary components of power electronics (https://avenues.utc.fr/recherche
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applied chemistry. In this context, the three objectives of the PhD project are: 1) Synthesising new families of heterobimetallic complexes that contain direct Ae-to-metal bonds between alkaline earths (Ae
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). These later could be formed with nano inclusions whereby, lower energy electrons scattered by the potential barrier of the interface, may also induce a significant improvement. In this PhD project, we propose
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | 1 day ago
Job description:Title: DC9, PhD fellowship in the design of Information Extraction Tools to characterise molecules produced or degraded by microbes and applications to plant-fermented food
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electronic signal that can be automatically treated and sent to the user. The PhD project aims to develop a generic printed biosensor for low cost, highly sensitive and quantitative hormones monitoring
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to other related molecular systems. The recruited PhD candidate will work for enlarging the family of pressure-sensible molecular materials based on square complexes. This can be achieved by adequate