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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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19 Sep 2026 Job Information Organisation/Company University of Oulu Research Field Biological sciences » Other Computer science » Other Mathematics » Statistics Medical sciences » Other Researcher
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
. The selected candidate will use data from these two lunar missions to focus on gravity field determination for the Moon, with the main topics being high-resolution gravity field models for modeling the structure
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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. Strong theoretical expertise in mathematical statistics, information theory, and the principles of signal estimation and detection, with the ability to translate these foundations into rigorous models and
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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, biomonitoring, and toxicity data. Key responsibilities: Lead UCAM's contribution to Task 5.2, including modelling of respiratory deposition of indoor particulate matter and estimation of exposure to aerosol-bound
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Engineering or a related engineering discipline from a well-established university with a proven record for independent researc A solid background in batteries, battery management systems, battery SoX modeling
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data