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traits, combining different sources of information, and assessing how environmental effects and management actions affect population dynamics and viability. Available data include long term capture
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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colorectal cancer screening study, including up to six samples per participant and comprehensive data on lifestyle, medication use, and colonoscopy findings. Our goal is to characterize microbiome dynamics and
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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simulation realism and by enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra
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PERMEATE We are seeking a dedicated Postdoctoral research fellow (PD) for PERMEATE who will work on peptide-membrane interactions, and in particular, towards characterizing and understanding the dynamical
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is also placed on your: background in structural and fluid dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and
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on the historical dynamics of the plague bacterium (Yersinia pestis), including how it might have been transported from outside Europe to Europe during the period between 1300 and 1900 CE. Position as Postdoctoral
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correlated life-history traits, combining different sources of information, and assessing how environmental effects and management actions affect population dynamics and viability. Available data include long
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hairy surfaces for flow control. The projects requires detailed measurements of the dynamic soft elastic interface and the fluid flow, as well as theoretical and numerical developments. The project