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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic
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MR pulse sequences on Siemens platforms for quantitative imaging. Develop, adapt, and evaluate modern reconstruction algorithms for accelerated and robust qMRI. Collaborate with a multidisciplinary
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
technology, algorithm development, biology, and medicine, you will be able to understand the entire path from physical measurements to biological interpretation and develop robust analysis approaches tailored
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rare genetic variants. Development of a bioinformatic algorithm for variant interpretation. Validation of results in the clinical setting and development of a model report for communicating results
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related to staff position within a Research Infrastructure? No Offer Description Lead data science research and train the next generation of AI graduates and researchers. The Opportunity Machine learning
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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data. Develop algorithms and predictive models to solve critical business problems in trauma and surgical critical care. Provide statistical and advanced analytics expertise to develop plans for surgical
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and