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associate in the broad areas of high performance computing and machine learning. HighZ is focused on developing scalable high order methods, enhanced with surrogate models for subscale physics, for modeling
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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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the general duties of the position, as well as: Maintain computer, networking, and related software requirements. Maintain laboratory equipment and ancillary parts to support all labs: steel fabrication
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phenomena in other fluid–structure systems, but a systematic application to ABS geometries and conditions has not yet been undertaken. This PhD project aims to address this gap by: 1. Developing a numerical
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will support two projects, one of which is “SMART-FLOW: Harnessing Multimodal Data and Machine Learning to Optimize Fluid Management in Intensive Care” and is funded by the Spark Innovation Programme of
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recruitment and development, and ensure programme excellence aligned with AUW’s mission of educating women leaders committed to addressing global challenges. You will contribute to teaching and curriculum
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will be extended to three-dimensional roughness configurations, requiring the development of dedicated numerical tools optimized for high-performance computing environments. Results will be
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into experimental animals. Assist with and eventually independently perform surgery and perfusions on experimental animals. Collect tissue and fluid samples (e.g., body fat, brain tissue, blood) from experimental
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fluid spraying in real time and improve the atomization of viscous fluids (currently a technological barrier to this process). The main objective of this thesis is to develop an approach for screening
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Fellow in the Department of Materials Chemistry