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Transmission and processing of live measurement data from laboratory setups, as well as storage in databases, and live analysis and visual presentation Active participation in innovative projects based on open
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formats, ensuring data quality and plausibility, linking entities across sources, integrating spatial and demographic information, and providing structured access for analysis and visualization. This thesis
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Integration of simulation and measurement data into interactive or VR environments Data processing, signal analysis, and visualization (e.g. in Python / MATLAB) You are not expected to be an expert in all three
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science, or a comparable field. You already have experience in Linux systems (Shell/Terminal), Python (e.g., for data analysis with pandas) as well as statistical methods, and Git. Knowledge in Modbus-RTU
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visualization of longitudinal and experimental survey data. You will be directly involved in ongoing data analysis projects, support research activities and thus become familiar with the process from project
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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provide corresponding debugging and/or performance analysis, document ICON model usage and workflows within MOD, as well as develop and extend in-house climate data processing and visualization software
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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, manual and automated compensation, data analysis, interpretation and visualization. Good understanding of the theory behind flow cytometry & related data analysis. Experience with spectral cytometry is an
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. Michael Rehli) supports LIT researchers in high-throughput data generation, processing, analysis, visualization and interpretation, as well as by providing IT infrastructure, software training and