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, preferably in English via an email to ai4eo@tum.de until 1. November 2025 at the latest. Please indicate “PhD application for Causal ML & EO for Urban Flood Resilience” in the subject line. The position is
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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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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03.06.2025, Wissenschaftliches Personal Chemical signaling, the most ancient and widespread form of communication, plays a crucial role in maintaining species boundaries through exclusive
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cellular biology, the project will investigate signal transduction mechanisms at the protein and membrane level. Experimental systems will include 2D cell culture, organoid models, and advanced biophysical
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connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are flexible and remuneration is in accordance with TUM regulations (65
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, mechanical, and chemical sensors including sensor characterization and testing is a plus • Experience with electronic devices manufacturing processes is a plus but not required • Excellent academic
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as