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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes
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& Spatial Planning, Physical Geography, and Sustainable Development. The team of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
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; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting pathogen invasion success and plant
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that shapes emotional experience and contributes to mood disorders. Your job Compared with verbal thoughts, mental images evoke stronger emotional responses and may increase vulnerability to emotional
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circulating narratives that combine language, images, personal stories, and emotional appeals. Such narratives can shape how migration is understood, intensify political divisions, and mobilise civic action
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contestation, but digital platforms have transformed how it is discussed. Online debates do not revolve around facts alone. They unfold through rapidly circulating narratives that combine language, images
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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assays, such as microelectrode array recordings and (cellular) imaging. In addition, you will investigate if herbal extracts can affect the function and integrity of the protective blood-brain-barrier
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into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve