50 phd-in-image-processing-"Foundation-for-Research-and-Technology-Hellas" Postdoctoral positions in France
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fluid management, thermal management, fluid management (liquids and gases), imaging systems, image processing module. - Design and production of parts by 3D printing - Management of subcontracting: supply
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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Extend the formally verified compiler CompCert with a Rust front-end. This prototype compiler will take as input the LLBC representation generated by the Charon tool (from the official Rust compiler
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for remote sensing data analysis.- Satellite image time series processing.- Oral and written communication in English and French. Savoir faire technique : - Working in Linux OS and HPC. - Advanced python
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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imaging methods (e.g. multi-site photometry) in combination with polysomnography (EEG, EMG) and video monitoring. We will take advantage of newly developed genetically-encoded neurotransmitter indicators
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ICR groups. There will be a possibility to collaborate with local spin-offs. For further information, you can contact Dr. Réka Markovich () and Prof. Leon van der Torre (). Your profile A PhD in
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, T. T. Nguyen, Y.-Y. Kong, and F.-G. Zeng, “Auditory temporal processes in normal-hearing individuals and in patients with auditory neuropathy,” Clin. Neurophysiol., vol. 116, no. 3, pp. 669–680, Mar
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and