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related disorders (ADRD). The Lab’s overarching goals are 1) to achieve a better understanding of the complex causes and mechanisms leading to ADRD, 2) to improve early detection and longitudinal monitoring
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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crisis through transformative innovation in the built environment. This pioneering effort brings together Harvard scholars and practitioners across chemistry, materials science, fluid mechanics, AI
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fellows with special interest in human connectomics in Alzheimer’s disease (AD). The Lab’s overarching goals are 1) to achieve a better understanding of the brain network and neurophysiological mechanisms
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on a candidate's track record of applying fluid and solid mechanics via CFD/FSI modeling. This is a crucial aspect of the role and will significantly contribute to our research projects. Excellent
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of the nucleus, the structure and assembly of spindles, the positioning and transport of cellular organelles, and fluid-structure problems in biology. To address these, often in close collaboration with
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behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling • Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating