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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ
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with the University of Graz, the Medical University of Graz and Graz University of Technology. Its mission is to decode, model and engineer human metabolism and its interaction with the environment
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties
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such as Power BI and Power Automate Demonstrated ability to manage the full model development lifecycle, including data preparation, feature engineering, deployment, monitoring, and optimisation Excellent
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20 Jun 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Technology, Department of Materials
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, AI-driven discovery, social platforms, partner channels, and emerging technologies. The Director establishes a hub-and-spoke model, positioning the website as the authoritative source of truth while
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collaboration on new and ongoing research projects, with a highly interdisciplinary team of economists, psychologists, engineers, app developers, and more. A primary focus of the work is applying economic models
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of computer vision and modelling for biomedical applications. This project focuses on developing finite element models and AI-driven solutions to improve perforator mapping through dynamic infrared thermography
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recovered. Focuses on IT financial analysis, cost modeling, data governance, and reporting. Delivers data-driven insights and decision support that enable division leadership to set priorities, allocate
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#CA-FT This individual will develop expertise and informatics technology that will allow clinicians, researchers, and staff to improve the health outcomes of patients and advance toward a learning