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. - Topical expertise working in the areas of AI, justice, technology, or on other forms of inequality is de-sired. - Fluency in English and one additional language is required. Applicants must have substantial
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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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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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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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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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for students. Requirements We require for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as
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to Apply: - Documents required: CV, research statement, BA and MA transcripts, MA thesis [optional] - Ask two recommenders who know your work to directly email recommendation letters - Send all documents