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projects ranging from machine learning applied to spatiotemporal data for weather nowcasting and forecasting, Earth System Modeling, statistical downscaling, data quality, and anomaly detection
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to perform correlative operando measurements Essential requirements PhD in Material Science, Chemistry or Physics or equivalent degree Hands-on experience in electrochemistry Hands-on experience in Raman and
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring
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also explore and exploit latent spaces to discover meaningful patterns and unlock new insights from complex biomedical data. Furthermore, you will work in a multidisciplinary environment collaborating
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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are to date the closest avenues to investigate, but other topics are not excluded, such as, e.g., physics and weather forecast. Supervise the research activities of PhD students. Publications on major