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cellular models of the outer blood/retinal barrier. Together, this will allow the direct exposure of the model to varying FHR protein concentrations representing those found in the blood of healthy and AMD
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 4 days ago
diseases. Our group investigates how cells sense stress, mount adaptive responses, and restore homeostasis to maintain cellular resilience. We combine human cellular models with transcriptomic and proteomic
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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diverse pathogen-derived molecules, using the Arabidopsis receptor RLP30 and the Nicotiana receptor RE02 as model systems (Yang et al., 2023, Nature Communications; Yang et al., 2025, Nature Biotechnology
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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coordinating stem cell niche patterning with size, using maize as a model. The project combines quantitative imaging and developmental genetics with single cell and spatial transcriptomics, offering hands
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include: - Extension to radio and optical diagnostics to test different interaction scenarios - Extension to low mass binary interactions at optical wavelengths - Development of empirically motivated models
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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research covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiologic modelling group focuses on developing strategies and mathematical models
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microphysiological systems, perfusion platforms, and advanced human in vitro models Cell culture and functional characterisation of bioprinted constructs Your profile Master’s degree (or equivalent) in biomedical