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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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., at conferences or public lectures) in both languages Teaching experience and familiarity with organizing academic events The successful candidate will be employed at the University of Tübingen as a regular
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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areas. The role requires both independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
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making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design
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). • Publication record appropriate to stage of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language
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of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language (written and spoken English) and
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Employability Ranking, etc.). It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of