23 phd-position-in-data-modeling-"Prof" PhD positions at Technical University of Munich in Germany
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Innovation. This position brings together four research groups at TUM: the Chair of Data Science in Earth Observation (Prof. Xiao Xiang Zhu), the Chair of Hydrology and River Basin Management (Prof. Markus
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will work in the subproject 1, ecoclimatology in mountain forests under climate change (Prof. Dr. Annette Menzel). We are looking to fill the position of a PhD student (m/f/d) in the field
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Function & Biosignals / Section II, we are currently looking for a committed PhD Student to start as soon as possible. The position is part-time (TV-L 13, 65%) and initially limited to 3 years. Research
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“PhD application for Self-supervised Learning of Time Series Data” in the subject line. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally
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16.07.2025, Wissenschaftliches Personal A PhD position (75% TV-L E13, to be extended to 100% after 8 months) in discrete optimization is available at the Professorship of Optimization and
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High motivation and enthusiasm for working in an interdisciplinary research environment Research focus: The successful candidate will conduct research on data-driven modeling of transportation systems
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01.08.2025, Wissenschaftliches Personal For a scientific project for Spin-Selective Neutron Detection using Quantum Sensing, we are looking for a PhD Position (m/f/x) with 30h/week. The Technical
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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(driving license), A willingness to do a PhD is expressly desired WE OFFER Full-time position as a research assistant (remuneration according to TV-L E13), initially limited to 2 years, Opportunities
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for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates for three PhD positions to be filled on August 1st 2025 to enlarge our research team