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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 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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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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with signal processing and control algorithms. Excellent communication skills in English (written and spoken); ability to work in interdisciplinary teams and to publish scientific results. A strong
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Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
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project on the release of hormones, neuropeptides, and neurotransmitters by exocytosis, which is mediated by a vesicular fusion process whose mechanisms are well established. However, the mechanisms
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 3 months ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
Nonstationary signals are at the forefront of modern statistical analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of
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with a strong synthesis of molecular and cellular biology, single-cell physics, microfluidics and mathematics. From this joint point of view, it is very promising to treat a phenotype as a product of
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well as proven experience with ultrafast experimental techniques dedicated to the study of phonons. The desired skills include: Extensive experience (≥ 4 years) in the implementation and operation of pump–probe
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: information theory, digital communication, signal processing, applied mathematics (particularly, nonlinear dispersive partial differential equations), neural networks, optical fiber communication, or photonics