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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 17 days ago
efficiently. To this end, we are looking for a senior researcher who will support the team in establishing techniques and technologies to visualize the data in an efficient and advanced way. Candidates should
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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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ChimeraX and to build an independent and collaborative research lab focused on the analysis and visualization of biological structures. The existing team members consist of highly experienced and talented
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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22 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Biological sciences » Biology Biological sciences » Laboratory animal science
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-quality data analysis and presentation of data related to the advancement of Princeton University's Advancement office. Candidates must be able to initiate and manage projects related to the analysis
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Assist with data analysis projects related to enrollment, student success, financial aid, and other key institutional initiatives; prepare findings in written, tabular, and visual formats for diverse
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tools for mass spectrometry data analysis. Contribute to the development and maintenance of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate
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documentation and visual presentations of statistical results (charts, tables, and other visual aids). Familiarity with longitudinal data analysis, methods for handling missing data, and resampling techniques
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produce and interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with