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Field
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(mzQC) and high-throughput analysis (identification, relative & absolute quantification) for lipidomics Implementation of provenance tracking within the workflow to enable reproducible data analysis
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topic: Capture and model changes in material appearance during exploratory movements. Aim to establish links between material tactile parameters, dynamic changes in the visual information and
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decision support systems. Create visual and language-based representations of complex patient data to support shared decision making (SDM) between patients, caregivers, and clinicians. Conduct participatory
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the movements and behavior of red deer in Vejlerne using advanced drone technology and AI-based data analysis. The work will include mapping reed bed dynamics and deer trails, comparing current patterns with
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) Performing multivariate analysis of risk factors and tumor biomarkers Collaborating in the development of digital platforms and interactive dashboards for data visualization Contributing to the writing
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loads beyond their original design capacity, hence in urgent need of a reliable real-time damage identification system. The current practice of visual inspection of bridges can be subjective and exposes
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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synthetic and real datasets. Developing software tools compatible for integrated use with popular data analysis packages, to be made available for public distribution. Eligibility Essential: Relevant Master’s
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with data visualization (graphs, GIS maps, figures). Proficiency with GIS software and spatial data analysis is highly desirable. Strong writing skills, including the ability to contribute to manuscripts
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., 1st March 2026). Specific Requirements Solid practical experience with GIS (e.g., QGIS, ArcGIS), including spatial data processing and visualization; Experience with data analysis using Python, Matlab