56 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at Technical University of Munich
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doctorate in anthropology, sociology, STS, or a related social science discipline, and experience in conducting and publishing research at an international level. Candidates in the final stages of completing
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, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Chair offers: A stimulating research environment at one of Europe’s leading universities Close collaboration in
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, statistics, machine learning) - a high motivation and the ability to work independently with a strong team orientation - excellent spoken and written English and the will to acquire a certain working language
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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civil and military operations“ and „operational analysis and evaluation“. The combination of these research focus areas provides an ideal platform for interdisciplinary research in simulation and
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, teaching and public dialogue – often in collaboration with partners from technical fields. The TUM STS community strives to provide new intellectual and practical resources for dealing with the challenges
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management skills • Experience with qualitative or mixed-methods research • Familiarity with AI, machine learning, neurotechnology, or robotics research contexts • Interest in science policy, governance
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of the General Data Protection Regulation (GDPR) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and