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you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical
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. Warming is changing, and generally increasing, the emissions of methane from anaerobic systems, yet the production, consumption and transport pathways are poorly understood. In addition, interactions
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modifications, structural proteomics, or systems-level analysis of molecular and cellular biology. Research may involve large-scale public proteomics datasets, data harmonization, cross-study integration
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the coming years. However, their syntesis relies heavily on energy-intensive processes requiring large amounts of high-temperature heat, which is currently supplied mainly by fossil fuels. Due
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research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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, and CAD tools including Autodesk AutoCAD, Inventor, and Creo, enabling large-scale simulation and modeling of nonlinear and stochastic dynamic systems. Penn State Behrend Penn State Behrend is an
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vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular
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computational approaches to problems in molecular and cellular biology. Research may involve large-scale public datasets, biological data harmonization, representation learning, predictive modeling, foundation
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networks, with a focus on large-scale European energy infrastructures Assess interactions between power, gas, and sector-coupled energy systems, with a focus on operational flexibility, cross-sector