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from diffusion tensor imaging of the heart along with all parameters determining the measurement process itself. Job description The position to fill concerns advanced data synthesis (both via machine
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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Your position Magnetic resonance imaging (MRI), developed in the early 1970s, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine over the past fifty years
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/smart, confocal, super-resolution, light sheet microscopy). Knowledge of state-of-the-art image processing and analysis tools and a track record in developing innovative image analysis and data science
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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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Your position You bring an interest in pediatric craniofacial anatomy, coupled with a strong affinity for 3D imaging analysis, including segmentation. In addition, the role involves expanding