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toward generative and multimodal AI methods that connect simulation, perception, and control within large-scale digital twins of urban traffic systems in Munich. The focus lies on advancing semantic
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interaction-rich scenarios. Ideal applicants will have a strong M.Sc. in machine learning, control, or safety, and hands-on experience with robotics. Apply now: https://lnkd.in/dNjmv835. Deadline: ASAP. We
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is yet to be awarded) when converted to the German system. ■ A very good command of the English language. ■ Strong interest in scientific pursuits Benefits: You will join one of the top AI research
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level of motivation for interdisciplinary research Ability to work in a team and to conduct field work in alpine environments Driver’s licence (Class B) Excellent command of English (min. C1) and good
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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command of spoken and written English. We offer: An excellent, interdisciplinary research environment. Flexible working hours. A 3-year contract with salary and benefits depending on experience, according
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processing and analytical chemical analyses. •Excellent command of English language (written & oral) and experience with scientific writing. We offer •Friendly and inspiring working atmosphere in a highly
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with