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developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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epidemiologic, clinical, and molecular research domains is desirable. Prior experience in large cohort or clinical trial data analysis is advantageous. Pay Transparency Statement The hiring range is based
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statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique disease insights. The lab has state-of-the-art
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets
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seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to work on information processing in biological networks and nonequilibrium thermodynamics of living systems. Current areas
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organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data
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providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance innovative, high-impact research. A