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sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Cardiovascular Magnetic Resonance (CMR) plays a central role in the non-invasive
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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student will work on data processing from the digital photosensors and image reconstruction for the PET scanner. The student will be involved in the hardware work on the photosensors as well. The same
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://vervaeke-lab.org/ ). The lab is located at the Division of Physiology, Institute of Basic Medical Sciences (IMB), at the University of Oslo. The position is funded for a period of 3 years and available from
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novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical
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-intensive challenges that require coordinated advances from both data-science and electronics research. Wind turbines, especially prototype units—generate massive volumes of heterogeneous, high-frequency
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viscoelasticity for cell culture, Rheological characterization of glioma and brain tissues as well as hydrogel systems, Microscopic imaging and measurements of traction forces generated by glioma cells cultured
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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stakeholders, including purchasing decision makers Support mapping of the pathway to market, including customer segmentation and potential market size estimation Contribute to analysis of reimbursement pathways