58 assistant-professor-and-data-visualization Postdoctoral positions at Technical University of Munich
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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Boltzmann Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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to accomplish something new — complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly committed
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will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
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. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of
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is expected. We offer you: With appropriate qualifications, a visiting professor status at TUM, with a highprofile presentation on the project website. The close cooperation with the other visiting