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Field
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the contract.Applicants must: 2.1. Hold or be in the process of obtaining an undergraduate degree in Telecommunications Engineering, in Electronic Engineering in Telecommunications, or in Sound and Image Engineering in
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FieldEngineering » Biomedical engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Python, MatLab, R, SQL. Statistical modeling and advanced data analysis. Automatic image
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a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles-enabling rapid, transparent, and reproducible design of advanced electrocatalysts. Main
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Technician contract until December 2026 to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging and MRI. The hosting group
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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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fabrication techniques suitable for large-scale production. The program trains researchers through a multidisciplinary approach with applications in communications, thermal management, sensing, and imaging
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to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment
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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image