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postdoctoral candidate to join our research group in advancing the next generation of sustainable engine technologies. This position focuses on experimental combustion research, with emphasis on future low
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. The Research Fellow will provide critical experimental, fabrication, and testing support for the development of advanced VRFB components — focusing on bipolar plates and flow field architectures — with the aim
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well as world leading industry partners. The candidate will be affiliated with the Mechanics Section (Section 1) . The section engages in theoretical, experimental and numerical fluid mechanics. This includes
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for real-time monitoring of cleaning validation washout fluids. Opportunities to contribute to patent filings, translational research, and commercialization pathways will be available. Key Responsibilities
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experimental background in developing and performing experiments in one of the following; soft materials, robotics, complex materials, fluids, interfaces, active surfaces. Desired qualifications: Experience
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to determine the design specifications of the adsorption atmospheric water harvesting system. To develop efficient adsorber bed designs through the use of computational fluid dynamic techniques and experimental
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accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Environmental Fluid Dynamics Lab in the Department
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Fortran/C/C++ and high-performance computing Good knowledge in fluid mechanics, heat and mass transfer as well as surface phenomena. With good record in publishing research papers. Preferably with expertise
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-mediated repair. Advanced Imaging & Experimental Models, including high-resolution two-photon imaging, mini-2P systems, and in vivo CSF tracer dynamics. Our discoveries have influenced international
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experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key