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Field
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/ This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover
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: 270175810 Position: Postdoctoral Research Associate Description: Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks postdoctoral scientists or research
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. We also collect a cadre of biomarkers to study disease pathology, including brain imaging (Positron Emission Tomography, Magnetic Resonance Imaging) and fluid-based (cerebrospinal fluid, blood/plasma
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Complement research group. The complement system is a pivotal part of our immune system, crucial in host defense against pathogens. The system comprises many fluid-phase and membrane-bound regulators
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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, the postdoc can be involved in the following research area if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out
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will analyze a series a mammalian fluids/tissue obtain associated with a study looking at the influence of Elderberry extracts on brain function. Qualifications The successful candidate will have a PhD
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of cementitious materials. Experience with X-ray or neutron tomography. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic
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research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, computational fluid dynamics (CFD) experts, and computational scientists to enhance the predictive