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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu’s research and recent publications can be found on his lab website: https
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the high latitude ocean. A tool for both understanding and prediction of these processes is the next generation of the NASA Global Modeling and Assimilation Office (GMAO) Goddard Earth Observing System (GEOS
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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will inform provincial guidelines and extension programmes, enabling scale-up beyond pilot sites. By embedding predictive modelling, antimicrobial surface strategies, and processing standardization
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calibration between Olink and SomaScan Annotation of organ-enriched proteins using GTEx and other public biological resources Development of organ-age prediction models using LASSO, Elastic Net, gradient
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled