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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 4 hours 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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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 9 days ago
science. We are looking for a highly motivated researcher with the following qualifications: - PhD in applied mathematics, control theory, signal processing, biomedical engineering, or a related field
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, 1008-1019; Huang et al., 2023, Plant Cell 35, 3845-3869). PD closure and antiviral immunity depend on the plasma membrane-localised PRR coreceptor SERK1 and downstream SERK1-dependent signalling, further
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: October, 2025 Proportion of work : 100% Workplace : Research Center for Immunology and Hematology, 1 Place de l’Hôpital, Strasbourg Desired level of education : PhD Experience required : Contact(s) for
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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Requirements Specific Requirements The candidate must hold a master's degree, engineering degree or doctorate in telecommunications, electronics, signal processing or computer science. They must have
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live in. Your role Conduct research related to the topics of the Signal Transduction Laboratory Participation in teaching activities at Bachelor and Master level (Co-) Supervision of master and PhD
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported