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                well as in signal processing - High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team - Structured and independent way of working with high self-motivation 
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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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                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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                seis-mometers, geophones, etc.), as well as in signal processing, High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team, Structured and independent 
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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