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-ranking peer-reviewed journal relating to AI, Generative-AI, Trustworthy AI, or the social impacts of AI. Delivered an agentic LLM prototype with public evidence e.g., GitHub repo, demo, or peer-reviewed
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High Performance Computing. Expertise in image and spatiotemporal data processing. A strong publication record in peer-reviewed journals and conferences. Excellent written and oral communication skills
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
IDEA TO PROTOTYPE For application-oriented research activities in our department Plasma Surface Technology we are looking for an expert to join us at the earliest possible date at the Greifswald site
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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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Department:Radiology Salary Salary:$50,004.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Post-Doctoral Research Fellow in Quantitative Brain Imaging The MR
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R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25-498 I - Legal
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and/or image processing * Strong proficiency in programming with Python and Matlab * Good command of English Knowledge of solid mechanics would be an asset, but is not essential. Website for additional
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand