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Field
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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prospective screening trial at various screening centers of the Dutch Breast Cancer Screening Program, including analysis of large data sets of screening interpretation outcomes and of survey results, as
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for estimating benefits of these practices using the huge amount of data generated from this project. -Support projects on the development of digital twin systems, models, and user interfaces for visualizations
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(Working with data supplied by the project partners, Designing visual representations of these data adapted to the analysis contexts, Studying the effects of these representations on understanding
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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Start of announcement 01.09.2025 End of announcement 12.10.2025 Institute or department Institute of Coastal System Analysis and Modeling Location Geesthacht Apply now Go to applicant portal
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Experience with PyTorch/TensorFlow for computer vision tasks Track record of publications in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and
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planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and coordinate with internal and external partners
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/TensorFlow for computer vision tasks Track record of publications in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical
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investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts