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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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networking, enable internationalization and mobility, and create a collaborative environment. TUM and the CRC embody a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models
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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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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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to be developed. One promising research direction is the use of physics-informed deep learning, such as physics-informed neural networks or deep neural operator networks. Tasks: Work in a team on national
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, education, and policy. The Institute works on an interdisciplinary basis and is highly networked both nationally and internationally. About the position The Chair for Ethics of Artificial Intelligence and
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immunological memory. We investigate T-cell communication with the local tissue microenvironment in settings of infections, autoimmunity and cancer. Our research has unraveled several novel T-cell functions and
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written and spoken German and English. • High level of initiative, analytical thinking, teamwork and communication skills. How to apply: • Applications should include a CV, electronic copies of your