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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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reflectance infrared Fourier transform spectroscopy (DRIFTS) to unravel charge transfer mechanisms, active sites and intermediate molecules in the reaction pathway. Additionally, finite element theoretical
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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fields. Integrate a new measurement solution to deepen understanding of the metal 3D printing process and link with ex-situ inspection systems. Apply deep and shallow supervised learning methods
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component behaviour. 3. Extend and apply existing core loss models to novel materials, leveraging insights from the MAGNIFY network. 4. Conduct a stochastic study on how strand positioning within
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improve the efficiency, maneuverability, and noise performance of drones and other multirotor aircraft, but their deployment requires more advanced modeling and control methods. The PhD will focus
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perform research on the neuronal correlates of the adaptation to accented speech. Research methods include electroencephalography and/or magnetoencephalography to assess neural response to continuous speech
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dynamics, control engineering, or dynamical systems. Required Skills/Qualifications: Experience with experimental methods (laboratory setups, sensors, data acquisition). Background in modeling of dynamical
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the following elements: Abstract (max 250 words) The abstract of a PhD research plan should serve as a concise summary of the key elements of your proposed research. It should provide an overview