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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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potential applications in biomedical discovery, literature mining, and cross-domain reasoning. 2. Deep Surrogate Models for Complex Scientific Systems This theme focuses on building deep learning-based
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-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and biochemical approaches • Requirements: PhD in structural biology/protein biochemistry; expertise in protein complex
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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promoters. You will train and evaluate predictive models in model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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The Scientific Challenge: Microbial ecosystems are complex adaptive systems whose emergent behavior remains poorly understood from first principles. In particular, it is not clear how functional diversity (i.e
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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interglacial complex and provide detailed insight on the duration, strength and sensitivity of this past warm state over this region in the DFG-funded project CONTINENTAL. Periods of prolonged heat and dryness