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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of an interdisciplinary team in a fast
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diagnostics, nano-scale therapeutics, neuroscience, women's health, and fundamental discovery-driven science. Will conduct original and collaborative research aligned with MIT HEALS; engage with faculty, staff
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faculty at the Innovations Institute and UConn School of Social Work, whose expertise spans multiple areas of expertise, including Eric Bruns, Michelle Zabel, and Tony Bonadio. The postdoctoral fellow will
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., decision trees, logistic regression); - Explainability techniques such as SHAP, LIME, and rule-based decision trees to justify model predictions; - Sensitivity analysis across multiple comprehension
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Experience in Linux and computational languages including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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users, researchers, and developers, both internally at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 months ago
to contribute to cutting-edge research and grow with our team. Your responsibilities Investigate the role of translational regulation in controlling cell resilience Develop and apply next generation sequencing
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for academic, policy, and educational users. They will work to develop the core survey dataset using geospatial data to align it with other geographically encoded social research data. They will support