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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
), and Morpheo team at Inria Grenoble (https://team.inria.fr/morpheo ). It is financed by an Inrae Explor’ae funding. About The Postdoc will start 01.09.2026 for a duration of 18 months, and be supervised
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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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this the selection criteria. Selection process The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2
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, etc ... Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request. Finally, the name of the person selected will be published
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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support can be found at: https://grad.uiowa.edu/postdoctoral-affairs/postdoc-resources . Education Requirement: PhD degree in Biochemistry/Life Sciences/Chemistry/Pharmacology or a related field Required
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process control. We offer a dynamic, interdisciplinary, and international working environment and we strive at fostering collaborative atmosphere. ETH Zurich also supports postdocs in developing career
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materials and processes into functional organic electronic devices. The postdoc is also expected to actively participate in the group’s scientific environment, contribute to student supervision, and
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, signal processing, machine learning, EEG analysis, computational neuroscience, regression modelling, uncertainty quantification, metrology, or measurement science. LanguagesENGLISHLevelGood Additional
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely