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Collection – Conduct in-depth interviews and organizational observations to gather high-quality qualitative data. Data Analysis – Use ATLAS.ti or similar tools to code and analyze data, generating theoretical
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nanomaterials to novel cellulose-based textiles. Key responsibilities Conduct a comprehensive sustainability background analysis of different material options for optically adaptive textiles including sensors and
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on electric machine drives and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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the position. Research statement (1-3 pages) describing your relevant experience in qualitative data collection and analysis, as well as how your expertise aligns with the empirical research required in
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) describing your relevant experience in qualitative data collection and analysis, as well as how your expertise aligns with the empirical research required in this project Curriculum Vitae List of publications
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. Technical skills: Proficiency in computational design tools such as Grasshopper, Rhino, Python, or similar. Familiarity with immersive technologies (e.g., Unity, Unreal Engine). Experience with data analysis
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design tools such as Grasshopper, Rhino, Python, or similar. Familiarity with immersive technologies (e.g., Unity, Unreal Engine). Experience with data analysis and geospatial tools (e.g., QGIS, ArcGIS