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Field
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publications, publicly available data visualization tools, academic presentations, and public engagement. Position Status Full Time Posting Number 26FA0669 Posting Open Date Posting Close Date Qualifications
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and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months ago, navigation, and visualization concepts for research data infrastructures based on the developed knowledge models Design and implementation of dissemination, training, and community activities to establish
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an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret results in a robust biological
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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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that enabled the visualization and purification of individual PDGFR dimers, revealing differences in the timing and extent of dimer activation, signal molecule binding, internalization, trafficking and
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. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
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movements Experience working with Twin Cities-based nonprofits and neighborhood organizations Experience writing up research results for publication Experience with data visualization software
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation