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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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this centre, we are opening a PhD position on remote sensing of mountain forest dynamics. The Technical University of Munich (TUM) is one of the leading universities globally. At the TUM School of Life Sciences
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: You will conduct research in the field of experimental atmospheric physics, with a focus on optical remote sensing of the atmosphere up to the edge of space (mesosphere and lower thermosphere, MLT
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: Bioclimatology Forest Inventory and Remote Sensing Forest Botany and Tree Physiology Ecoinformatics, Biometrics and Forest Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Work
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under different climate and nutrient input scenarios. Within IOW, the PhD candidate will collaborate with IOW’s Department of Marine Observations Integrated Optical Remote Sensing Research Group
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PhD candidate (f/m/x) – Interphase between epigenetics and cellular metabolism 102819 Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing
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. The opportunity to pursue a doctorate (PhD) in cooperation with national and international research partners and industry. Flexible working hours and the option of remote work. A Lounge Lab, table soccer, and
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of Munich and conducted across research groups, with other PhD students working on related topics of natural haz-ard management in mountain areas. You will specifically use remote sensing and simulation