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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 9 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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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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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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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
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on conflict engagement and intercultural skills in higher education. Research Group and Collaboration The successful candidate will become a member of the research group "Innovative Models of Universities
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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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. Equilibrating such films by brute-force molecular dynamics is prohibitively slow. Instead, we build them using diffusion models at coarse-grained resolution, formulated so that the model yields not only realistic
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, biomarker discovery, metabolic modelling and translational approaches to understand cognitive health in menopause. Where to apply E-mail [email protected] Requirements Research FieldBiological
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extension for another 6 months. It is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The PhD project aims at understanding how evolutionary principles can be harnessed to constrain bacterial