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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 2 months ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI
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) The postdoc will contribute to lab duties, which is evenly distributed among all lab members. Lab: https://www.helabucb.org/ Qualifications Basic qualifications (required at time of application) PhD
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the applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases. Be an integral part of
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at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep-learning–based segmentation, classification and
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lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
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curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently
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structural biology, statistical modeling, or AI/ML. This role combines deep domain knowledge with scientific leadership, translating advanced methods into practical capabilities that accelerate molecule
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: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and
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VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support
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translational medicine concepts Publication history in relevant fields (AI/ML, genetics, toxicology) Experience with deep learning frameworks and generative AI models (e.g., GANs, VAEs) Key Leadership