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information about our research area and about our team can be found on our homepage at: https://mat.univie.ac.at/~perugia/ . The start of the contract is October 1st, 2026 or later. The start of the
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-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and
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-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and
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, computational modeling, finite element analysis, computational geometry, fluid mechanics, scientific visualization, HPC and distributed computing. Substantial experience in programming (i.e., fluent in
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public areas. Representatives troubleshoot and resolve customer service challenges to achieve the best possible outcomes for the people we serve, while modeling UCSF Health values and PRIDE behaviors
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appropriate to the discipline. Candidates with bachelor’s degree and extensive experience in specific areas of Construction Management (i.e.: Building Information Modeling, Cost Estimation and
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appropriate to the discipline. Candidates with bachelor’s degree and extensive experience in specific areas of Construction Management (i.e.: Building Information Modeling, Cost Estimation and
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dynamical/statistical downscaling; event attribution and climate-risk analytics; compound coastal, pluvial and fluvial flooding; climate impacts, adaptation and resilience; ocean-atmosphere interactions
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and