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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
predicting the solar magnetic activity is crucial for the prevention of possible negative mpacts of this activity on life on Earth. That is the focus of Space Weather Research. So far, the mechanism
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machine learning algorithms for the prediction of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation of model and numerical
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ultimately seeks to predict how species respond to different sources of predation in the context of ongoing environmental changes, in order to better adapt monitoring tools and hunting quotas
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
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and the interplay with polymer viscosity. Structure-Property Relationships: Establishing the relationship between polymer flow, fibre displacement and the manufacturing parameters. Building a predictive
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found
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highly motivated PhD student to develop advanced fracture models for predicting material degradation and failure in additively manufactured steel in nuclear reactor water environments. The project focuses
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, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods