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Field
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, you will be embedded in the research group Computational Imaging and
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(University College Dublin) and Prof. Leo de Vreede (TU Delft). This position directly connects to DISRUPT’s planned work on efficient ML-based DPD, accelerator architecture, silicon tape-out, and prototype
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
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unrelated to their own. They attend practical courses in novel technologies (live imaging, genomics, proteomics, etc.) and soft skills courses (scientific writing, presentation skills, intellectual property
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imaging to further define the substrate spectrum of SPPL3 (Hobohm et al . (2022), Cell Mol Life Sci; Truberg et al . (2022), BBA Mol Cell Res; Brauer et al . (2024), EMBO J). Moreover, many independent
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significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new iFlux sensor prototype to measure real-time groundwater fluxes in the field is a promising technique, but is a
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents
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methods that will be explored rely on the following techniques: i) Autoencoders / Variational Autoencoders (VAE) to embed high-dimensional inputs (fields, images, mesh-based signals) into low-dimensional