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high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills Since the work involves interdisciplinary cooperation with several researchers and technicians
Searches related to parallel computing numerical methods
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