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for reinforcement for our team (Computational Imaging Research Group) that creates novel imaging systems with unprecedented capabilities. Be part of change Literature review on state-of-the-art machine learning
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this master's thesis, you will investigate the recovery of biogas and landfill gas through pyrolysis with the aim of producing hydrogen. Be part of change Literature research on the state of the art in
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, impedance spectra). You independently conduct literature research, document your work, and present your results within the team. What you contribute You are an enrolled student in a technical or natural
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. A pre-trained machine learning model for assessing cell condition based on EIS data is available from previous Master Thesis and will be integrated into the system. Be part of change literature review
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based on EIS data is available and will be integrated into the system. Your Tasks Literature research on the condition diagnosis of lithium-ion cells with a focus on EIS Design and simulate a probe system
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to help advance the state of the art in fiber lasers? You are a team player, yet willing to meet some tough challenges on your own? You wish to obtain a doctor degree or are interested in post-doc studies
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. Fraunhofer IGB is one of 76 institutes and research units of the Fraunhofer-Gesellschaft, the world’s leading applied research organization. Be part of change To achive a sustainable circular economy