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project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
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, cardiac arrhythmias and pneumonia. In this project, the University of Twente (Biomedical Signals and Systems group; BSS) in collaboration with the top clinical hospital Ziekenhuisgroep Twente aims
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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for both autonomous and prosthetic applications. If you’re excited by all this, we encourage you to apply. The opening: In this project, you will develop: Detailed, large-scale computer models of
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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Integrated photonics is maturing and integration density increases. This means the design methods and testing strategies need to keep up. Are you interested in exploring compact models and novel
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. Extending our existing theoretical frameworks in investigating design optimization and nonlinear parameter estimation. Contributing to the teaching and assisting with dynamics relevant courses
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applications. If you’re excited by all this, we encourage you to apply. The opening: In this project, you will develop: Detailed, large-scale computer models of the composite human neuro-musculo-skeletal system