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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy
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post-AM processing of non-weldable Ni-base superalloys and Ti-alloys using recent advances in laser processing and in-situ process control. Position is connected to the competence centre Centre for
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of non-weldable Ni-base superalloys and Ti-alloys using recent advances in laser processing and in-situ process control. Position is connected to the competence centre Centre for Additive Manufacture
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scientific areas ranging from fundamental chemistry, health and medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, theory and
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-wavelength excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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the environment, and how they control navigation, hunting, and communication behaviours. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with