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alignment and bioinformatics analyses Integrate computational, laboratory, and fieldwork approaches to study population genetics Develop and apply statistical and computational models for evolutionary
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in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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research, developing novel computational models to analyze histopathological and multi-omic data. Opportunity to build a collaborative scientific career in computer science and medical data analysis
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. Managing Directors Matthias Tschöp and Mike Frieser: We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a
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of a DFG-funded project. The project involves state-of-the-art preclinical cancer models and access to patient samples and primary cell cultures to elucidate the sex-biased differences in response
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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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prescise molecular mechanisms underlying the tumorigenic effects of mutant IDH1 remain elusive. The successful candidate will use established in vitro and in vivo models of mutant IDH1 to assess the early