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Field
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the processing that is conducted on the chip. This requires an efficient and bespoke processor design that maximises the processing speed on the chip for the algorithms that are required for facial expression
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 2 months 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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paradigm shift in the design and administration of future drugs using nanotechnologies. However, despite their undeniable advantages (e.g., increased biocompatibility, modularity, versatility of payloads
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solutions for 5G. The selected person will participate in the DANGER project with the design of cryptographic solutions (multi-party, homomorphic encryption, post-quantum) that can promote sustainability
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? Do you like to collaborate with people from different backgrounds to come up with more eco-friendly sand nourishment designs? Then we invite you to apply for a PhD position our team! Sand nourishment
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 30 days ago
is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association. Starting on September 1, 2024 our Department Survey Design & Methodology
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backgrounds to come up with more eco-friendly sand nourishment designs? Then we invite you to apply for a PhD position our team! Sand nourishment is a widely used coastal management strategy to offset coastal
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creativity and innovation, and the importance of building inclusive and collegial teams within our community, the University seeks qualified candidates who share our commitment to equity and inclusion, who
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) This project will design and evaluate methods for automatically constructing process models that dictate the optimal execution of future business processes, aiming to enhance their efficiency and effectiveness