42 phd-mathematical-modelling-population-modelling Postdoctoral positions at Nature Careers in Germany
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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. The successful candidate will apply molecular, imaging, and electrophysiological methods to investigate the molecular mechanisms of somatic mechanotransduction. We use genetic mouse models and human cells to gain
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types develop novel approaches for targeted genome manipulation work with advanced cell model systems (including gene editing and iPSC-derived models) plan and conduct independent research projects
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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preclinical in vitro and in vivo models Supervise and mentor MSc/MD/PhD students Collaborate with national and international research partners Present your results at scientific meetings Publish your findings
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and