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Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In this project, we will focus on increasing validity
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emulators), including real time or hardware in the loop validation Plan and execute measurement campaigns and lab experiments for key J CROSS use cases, e.g. remote ranging, SAR imaging, object detection, and
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modelling and vulnerability assessment for satellite communications links Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and
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scientists are developing novel methods and strategies to combat infectious diseases more quickly and effectively. Our shared objective is to develop innovative approaches to the prevention, diagnosis, and
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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, with broad applications in research and clinical diagnostics. Objective: The post-doctoral fellow will work on the development of a robust detection pipeline for cytokines in plasma and other body fluids
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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required. Perform other duties as assigned to meet the goals and objectives of the department and institution. Maintains regular and predictable attendance. Minimum Education and/or Training: Ph.D. degree
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from April 1, 2026, or as soon possible. This is a fixed-term position to end on March 31, 2028. Job description The primary objective of this postdoctoral project is to understand how ecosystems
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integrates innovative oceanographic, biogeochemical, ecophysiological, and model-based investigations. The main research objective is the exploration and quantification of non-photosynthetic sources of oxygen