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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 1 month 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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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should
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investigates previously uncharacterized motif-mediated protein–protein interactions that play crucial roles in biological processes such as cell signaling and cancer. The successful candidate will contribute
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wind tunnel experiments, flow measurements, or aerodynamic testing is an asset. Skills in data acquisition systems, signal processing, and experimental analysis. Ability to work in a collaborative and
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to colonization — may also be considered as a point of comparison. The main approach will consist in analyzing horse genomes to uncover their origins, kinship relationships, and selected phenotypes, as
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range Adapt codes using these lines to subtract the stellar activity signal as accurately as possible Test these codes on a diverse set of M dwarf data from HARPS/NIRPS and SPIRou/SOPHIE Analyse and
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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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, and the relation with the other partners. Therefore, the candidate should have a strong background in the electrical characterization of capacitor structures, point defect identification, semiconductor
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FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications Remote sensing for Earth observation. - Knowledge of EO Time-Series analysis/change detection, radar signal processing, forest