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action recognition, and enable seamless collaboration between humans and machines. Long-Term Human-Technology Evolution: investigate the longitudinal impact of human-technology interaction on learning
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recognition, and enable seamless collaboration between humans and machines. Long-Term Human-Technology Evolution: investigate the longitudinal impact of human-technology interaction on learning, behavior, and
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transcripts for international degrees), and a list of publications with up to five selected reprints of recent work. Please also note our information on application documents on our website: https
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FULLY FUNDED PhD POSITION IN CRANIO- AND OROFACIAL DEVELOPMENT The research group
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evaluations may be found in our guidelines for review under the following link: https://uni-tuebingen.de/en/134275#c2482323 The University of Tübingen is committed to equity and diversity and actively promotes
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development of analyses and computational models of behavior and cortical functions tasks for personal scientific qualification (doctorate) Requirements: completed scientific university degree in neuroscience
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Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure
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modules and development of new ones to explain the emergence of ethnic and migration-related educational inequalities, especially in (early) childhood Independent and team-based research to explain
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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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the scientists, you will expand our equipment pool, in order to meet user needs and keep it up to standards. This can be achieved either through new purchase, or through the development of new equipment in