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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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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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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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interdisciplinary research environment • training and advanced qualifications within the Leibniz Association and the Technical University of Munich • flexible working times and therefore good compatibility of work
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inclusion and encourage candidates from underrepresented groups to apply. We are dedicated to offering an inclusive research environment and encourage applicants of all backgrounds to apply, including
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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
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and lively working environment at the university and campus Access to modern facilities and infrastructure at a strong research department Scientific exchange, flexibility, independence and self
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stimulating work environment that promotes teamwork and individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home . Payment will be based