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processing conditions Apply data-driven and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability
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measurements and quantifying their accuracy under different operating conditions and dynamic load profiles Processing and analysing experimental and time-series data and investigating the
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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in electrochemistry, battery testing, powder processing, electrode fabrication, corrosion, or materials characterization is advantageous Our Benefits for You Team & Scientific Environment: You will
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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behavioral data processing and analysis across multiple neurological disease models or may focus on a specific disease of interest. Basic knowledge of Python or MATLAB programming would be highly appreciated
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written and spoken English is required (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level Our Benefits