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. Documented research experience and knowledge of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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charging stations is influenced by different system solutions. Methods to be used include data analysis, modeling, simulation, and optimization. The research is part of a larger project that also, in
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heterogeneous computing platforms, automotive and mobility solutions, and next-generation AI-enabled safety functions. A central and strategic component of the position is strong cooperation with industry
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. Experience with the following methods/techniques is also considered valuable: Isolation of immune cells from tissues and blood Tissue staining and imaging using confocal microscopy and image analysis Molecular
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behavioral paradigms used to study somatosensation in mice, mouse colony management and transgenic mice maintenance. It is a particular merit if the applicant also has experience in quantitative analysis
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of educational history, digital humanities and sociological analysis. You are expected to be actively present in the research environment, develop research networks and contribute to a vibrant intellectual climate