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the transfer of new ideas from the lab to real-life applications, improving lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
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related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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, the Helmholtz AI consultant team has been providing Machine Learning (ML) and AI expertise to Health research scientists from Germany’s largest research organization, the Helmholtz Association, with great success
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technical knowledge in areas such as: Foundational Models Algorithmic Research Machine and Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel
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are targeting someone who has a strong proven track record in computational biology, is adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a
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candidates would have direct experience with several of the following methodologies: optogenetics, fiber photometry, in vivo calcium imaging, and/or machine-learning-based behavioral assessment. Additionally
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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Grundstufe (praedoc) Reference no.: 5208 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world