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track record in fMRI data analysis and multimodal neural representations of actions will be considered a preferential qualification. Where to apply Website https://www.imtlucca.it/en/jobopportunity/public
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate
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contact persons, please visit https://datascience.uni-greifswald.de/forschung/behaive/ . Job Description: The research assistant in the project ‘Scalable Systems for multimodal Data Analysis’ will have the
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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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initial triage and validation of security alerts to identify potential incidents. Conduct deep analysis of events using multiple data sources (e.g., SIEM logs, endpoint telemetry, network traffic). Lead
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7 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de Mécanique et d'Acoustique Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
research on ionospheric dynamics and data analysis. We are particularly interested in candidates who will analyze satellite and ground-based observations to improve our understanding of space weather
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Biochemical Reference Data Division opportunity location 50.63.21.C0659 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Kelly Telu kelly.telu@nist.gov 301