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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis
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the working language is English, excellent written and spoken English language skills are required. The candidate will be a regular full-time employee at TUM, with pay scale 100% TV-L E 13. The expected
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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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scripting language is necessary for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a
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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination
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its diverse culture, and is proud to host seven PhD students from 5 different countries and 19 Master students from 10 different countries. Our lab language is English. Website: https://niessnerlab.org