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of machine learning algorithms are of real interest in improving the accuracy of water quality measurements, particularly in identifying, accounting for, and neutralizing ionic interference. The second key
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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of IsoPROPEL is to develop fuel cells that utilize the isopropanol/acetone couple for boats navigating European waterways (canals and rivers). The recruited candidate will be affiliated as a PhD student at ENS
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be carried out in the "Meiosis and
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4 Sep 2025 Job Information Organisation/Company University of Paris-Saclay Research Field Engineering » Industrial engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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: ANR JCJC “NanoG4V” : ANR-24-CE51-7558 Expected Outcomes By the end of the PhD, the candidate is expected to: • Acquire solid expertise in the synthesis and advanced characterization of quantum-grade
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4 Sep 2025 Job Information Organisation/Company Université Paris-Saclay (UPS) Research Field Engineering » Industrial engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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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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University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 2 months ago
(R1) Positions PhD Positions Country France Application Deadline 20 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded
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. The project proposes an innovative approach to model sea ice dynamics from the ice floe scale to the basin scale, leveraging hybrid data assimilation and machine learning methods to shape a physically robust