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Field
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organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and their outcomes. Methodologically, we value qualitative
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at the Computational Imaging Research Lab (CIR) and the Department of Cardiology at the Medical University of Vienna and the Visualization and Data Analysis Research Group (VDA) at the University of Vienna. Your Tasks
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral
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Physics of Complex Systems, with an overarching goal to understand the host-microbe dynamics in the context of chronic diseases like the Inflammatory Bowel Disease, or IBD. The selected PhD student will
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cardiovascular image analysis, but they are limited by their dependence on large, expert-annotated datasets, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 14 days ago
molecular biology or immunology with a strong background in inflammation and/or fibrogenesis. Required languages: Fluency in English (written and spoken) and ability to clearly present complex scientific
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 23 days ago
complex codebase (millions of lines of code, mostly in C) which makes formal verification of its components a significant challenge. Device drivers, in particular, are often developed by third parties
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex