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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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this work through scientific publications is a key objective. Where to apply E-mail postdoc-IETR-AI@emploi.beetween.com Requirements Research FieldComputer science » Computer architectureEducation LevelPhD
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 25 days ago
are interested in exploring/characterizing the brain vascular tree, and more precisely, to characterize the brain arteries, classify the major cerebral bifurcations and automatically detect intracranial aneurysms
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to detect, image, and analyze ferroelectric domains in 2D ferroelectric heterostructures. You will employ advanced cryogenic micro-spectroscopy, and reflection contrast imaging to visualize domain structures
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
GOOSE (Generic Object-Oriented Substation Event) transmission of trip signals and circuit breakers state chages). The aim of this study is to develop intrusion detection methodologies for process bus in
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, most methods to detect balancing selection have been benchmarked only on scenario of HA. Yet, HA is thought to be a rare and transient mechanism that participates less than NFDS or FS in the maintenance
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Detecting generated
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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) for the detection of POPs. These sensors will be functionalized with next-generation biochemical probes. Since the studied environments are highly complex, the ability to exploit the intrinsic multi-parametric