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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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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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record in computational biology and the modeling of biological systems. Their research focus should be on the development of computational approaches to biology, with an emphasis on AI and image analysis
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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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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offer Interdisciplinary work at the interface between computer science, biomedical imaging and medicine Collaboration with an industrial partner on industry-level medical data processing and visualization
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high computational cost presents a challenge for real-time process control. This project aims to overcome this limitation by integrating real-world casting data, process parameters, and finite element
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| Computational Biology Group (CoBi, Prof Dagmar Iber) Administrative Assistenz (m/w/d) am Departement für Biosysteme 50%-70%, Basel, befristet 02.04.2025 | D-BSSE Projektleiter:in