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Field
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geometry, analysis and computational mathematics, as well as their applications to data science and computational dynamics. Applicants can read more about the project at the Lie-Størmer Center's homepage
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, particularly in analysis of crosslinking and immunoprecipitation (CLIP) data. You will be a dynamic, creative, and motivated scientist interested in pursuing questions deeply. With a strong understanding of the
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
of disease or the dynamic trajectory of treatment benefit in oncology. This project will investigate endpoints that incorporate repeated measurements over time — such as tumor burden trajectories, patient
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of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
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Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating
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well as their applications to data science and computational dynamics. Applicants can read more about the project at the Lie-Størmer Center's homepage . At the Lie-Størmer Center, we foster dialogue through collaborative
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sensor network for continuous infrastructure monitoring. Standard optical fibres will be used as dense arrays of vibration sensors, making it possible to measure dynamic strain and acoustic disturbances
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structural MRI, diffusion MRI, and resting-state functional MRI. Ongoing data collection includes multimodal neuroimaging, actigraphy and physiological monitoring, electroretinography, and blood data. Role and
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a central role in advancing neuroimaging analyses and multimodal integration. Available datasets include structural MRI, diffusion MRI, and resting-state functional MRI. Ongoing data collection
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warmer and wetter world. RAPTURE brings together high resolution physical simulations, machine-learning climate emulators, and new perspectives on the dynamics of weather and climate to understand i) what