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interdisciplinary projects explore how patterns in baby teeth reflect past environmental exposures and predict future mental health outcomes. The research integrates biological measures with developmental and
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
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focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
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, and neural network modeling of device behavior. Experience in the application of machine learning in a two-phase heat transfer study is a plus. Preferences: Additional Certifications: Additional
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation