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responsibilities High quality research in the field of high precision environment perception using multi-modal sensors Regular publication of results in high-impact and peer-reviewed journals and conferences
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and
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of the Built Environment”. For our team, we are looking for a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding of the Built Environment” About us The TUM-Professorship for Data Science
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can locally enrich and protect catalytically active molecules and are open to molecular exchange with the environment. Exchange with the environment could have supplied precursors for compartment
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multidisciplinary research environment at the frontier of the field. We explicitly encourage international applicants. Further, TUM is committed to equal opportunity and diversity. TUM aims for an increase
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models and methods (CNNs, LSTMs, Attention Networks, GNNs) We offer: An optimal research and supervision environment for doctoral studies and academic development, excellent networking opportunities
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to understand the mechanisms that govern tree and forest stand growth, as well as wood physiological processes, which are essential for explaining forest resilience to changing environmental conditions and their
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immunology • A highly dynamic international young team in a thriving research environment in a Leibniz Institute with many large collaborative projects such as the Cluster of Excellence Balance
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-solving skills, with a keen attention to detail. • Ability to work both independently and collaboratively in a multidisciplinary team environment. • Strong communication skills and the ability
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of Artificial Intelligence, Data Science, and Social Sciences. Work in a dynamic, collaborative environment with leading Artificial Intelligence and Data Science experts. Have access to state-of-the-art