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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 6 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 17 days ago
at Helmholtz Munich. The focus of the role will be the analysis of spatial transcriptomics and multi-omics data generated within SPACETIME. Responsibilities include data management, metadata collection and
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Design and build 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
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
Development of gene silencing tools targeted towards lncRNAs Assessing lncRNA (dys)regulation in large clinical cohorts Data analysis and visualization Presentation of research results Your profile Master's
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. The professorship of Big Geospatial Data Management concentrates on the methodology for the acquisition, or-ganization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We
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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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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
context Data processing, analysis, interpretation, and visualization of experimental results in collaboration with computational partners Your profile Completed diploma or master’s degree in molecular
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integrating RNA and spatial ribonomics data, we aim to gain a deeper understanding of key biological processes and their relevance to major diseases like bacterial resistance, neurodegeneration, and
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software for the analysis of both population-level and individual-level data, to enable personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers. We aim
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parameters, are inevitable. Specifically, the improvement of emission inventory data by data assimilation applications has demonstrated strong positive impact on the analysis’ performance. However, recent