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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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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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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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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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: §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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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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: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 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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related to staff position within a Research Infrastructure? No Offer Description Description of the workplace Automatic Control is an exciting and broad subject, covering both deep mathematics and hands
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or