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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 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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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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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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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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at m.jalaal@damtp.cam.ac.uk . If you have any queries regarding the application process, please contact LE49354@maths.cam.ac.uk . Please indicate the contact details (including their email addresses) of three
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/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint