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standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific implementation. You will
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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SELECTION PROCEDURE FOR THE HIRING OF AN ENTRY-LEVEL PHD WITHIN THE SCOPE OF THE PROJECT "FIT-HEART – Metabolic flexibility as a critical factor for improving the outcomes of Heart Failure with Preserved
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measured depends on clinical decisions that vary between hospitals, physicians, and patient states. As a result, previous models have struggled to generalise beyond the hospital they were trained on. We
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 1 month ago
), imaging, and functional assays in mouse models to identify key molecular nodes linking sympathetic overactivation, immune cell infiltration, and cardiac fibrosis. Your findings will point toward novel
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“Decoding the lithospheric structure of Central Asia through cluster analysis and geophysical modelling” (GACR 26-24389L) in tight collaboration with the Institute of Geosciences, Christian Albrechts
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patient stratification and combination therapy choices. You’ll be part of a tightly integrated team that uses computational models generate hypotheses and, with the help of partner labs, validate them in
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substrate utilization and culture conditions with programmed cell death, using D. hansenii and S. cerevisiae as model organisms, and follow up design engineering strategies to prolong the yeast lifespan in
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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to solve considerably larger problems than before, involving many scenarios for the future. We will use deep generative models as part of the solution process to generate scenarios and guide the search. We