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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at conferences. IMPORTANT: Please specify in
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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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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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analyses, you will develop import scenarios for Germany, visualize your results, and derive recommendations for future import strategies. Throughout the project, you will receive guidance and support from
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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
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene