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to have a PhD degree in Robotics & AI or classical majors such as Mechanical/Electrical Engineering/Computer Science/Mathematics, with a specialization in themes such as robotics, systems & control
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modal identification. The approaches were tested in light fluids by decoupling the analysis of random ambient noise from mechanical and acoustic sources. The aim of the present post-doctorate is to
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compatibility. Contribution to publications, patents, and presentations at international conferences. REQUIREMENTS PhD in Mechanical Engineering, Biomedical Engineering, or related fields. Strong background in
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fluid mechanic modelling of particle trajectories in acoustically actuated microfluidic systems. Experience of acoustic enrichment/trapping of nanoparticles or extracellular vesicles Experience in
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candidate will have a first-class degree and PhD in Mechanical Engineering, Physics or relevant fields. They will have experience in computational research in the field of the project, with a strong
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flow, and a theoretical/numerical part on “fluid mechanics” focusing on transport by complex flows (e.g., turbulent flows). Depending on the profile of the person recruited, their activities will
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properties; Experimentally characterize the optical, mechanical, electrical and fluid delivery properties of the fabricated fibers, as well as connectorized the fibers as interfaces; Validate the interfaces
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interdisciplinary team. About the Department The Saint Anthony Falls Laboratory is a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface
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heat transfer, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular, improved understanding of turbulent, reactive, and multiphase flows together with material
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, building energy and services, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. The Section for Manufacturing Engineering