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Keywords: Digital Twin of the Ocean (DTO), Artificial Intelligence (AI), Ocean Forecasting & Reanalysis, End-to-End Neural Learning, Observation-Driven and Generative Modelling, Science-driven demonstrations
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and explainable AI models for Medical Imaging and aid Medical Diagnosis, Digital Health and Well-Being with AI. Introducing virtual twin-driven AI models for medical diagnosis of a variety of diseases
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to information. We work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user
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Assistant Professor, you will: Conduct research in the field of networked systems, focusing on distributed control, optimization, and data-driven modelling. Develop innovative methods for modelling, control
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-level rise and intensified storm activity driven by climate change. In many of these regions, engineered coastal protection infrastructure is limited, creating an urgent need for cost-effective and
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gust conditions. - Developing physics-informed reduced-order models (ROMs) and data-driven surrogate models for real-time estimation and control. - Contributing to the development of digital twin
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statistical models to simulate climate–hydrology–environment linkages. Utilize GIS, remote sensing, and data-driven approaches to quantify climate vulnerabilities and adaptation opportunities. Collaborate with
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24 Dec 2025 Job Information Organisation/Company University of Skövde Department Engineering science Research Field Engineering » Computer engineering Engineering » Industrial engineering
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. Contribute equally to the design and development of core architectural components, UI and Java components, and back-end database models. Mentor junior developers and champion engineering best practices through
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, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience working with large, complex enterprise