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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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to university restaurants with a preferential rate Access to sports, university libraries and other activities on campus Selection process Application link : postdoc-algosolis-microalgae@emploi.beetween.com Link
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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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: information theory, digital communication, signal processing, applied mathematics (particularly, nonlinear dispersive partial differential equations), neural networks, optical fiber communication, or photonics
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of Research Experience1 - 4 Additional Information Eligibility criteria The recruited individual must hold a PhD in electrical engineering, signal processing, or fluid mechanics. This position requires
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE: Postdoc / R2: PhD holders RESEARCH FIELD(S)1
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 2 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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FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications Remote sensing for Earth observation. - Knowledge of EO Time-Series analysis/change detection, radar signal processing, forest