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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Fraunhofer IOSB. You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and will explore fundamentally new approaches in seven sub-projects to make
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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work together on fundamental and applied research questions in the stateof-the-art Research Laboratory for Turbulence and Wind Energy Systems. Our mission is to advance the understanding of wind as a
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10 Mar 2025 Job Information Organisation/Company University of Greifswald Department Human Resources Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text