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cellular and organismal levels • Gene expression analysis (histology, scRNAseq data minining) • Phenotyping using behavioural setups • Acquisition and segmentation of image datasets • Bioinformatic data
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image analysis, segmentation and visualisation. The selected candidate must have very good skills in cooperation and communication in English. In this position you must work independent and flexible and
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: • Experience with species classification, object detection, semantic segmentation, or transfer learning. • Experience with drone (UAS) image acquisition and processing. • Experience with structure-from-motion
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compared to identify and evaluate early pathologic processes. Challenging aspects include image segmentation of the lung, lobes, airways, and vascular tree; extending our tissue characterization
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different crop types (e.g., camera height calibration and image segmentation algorithms). Consolidate data from different sources to input machine learning modelling. This includes near-continuous
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Coordinator position works to enhance the University’s public image, increase awareness about FAU’s faculty, staff, students and programs, and to ensure consistency of image and quality in all marketing
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length scales. Develop computer-vision / image-processing workflows for TEM videos, e.g. preprocessing, segmentation, tracking, event detection, and robust quantification under low SNR and imaging
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The Department of Computer Science invites applicants for a PhD fellowship in Mathematical Image Analysis for Sustainable Materials to be part of the Novo Nordisk Foundation–funded project RAPTOR , a
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requirement, as well as documented experience in tomographic 3D reconstruction and in using multiple software for 3D image analysis, segmentation and visualisation. The selected candidate must have very
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and in particular a good knowledge of drosophila and chicken models. - Expertise in confocal microscopy, live imaging, image analysis and segmentation, immunostaining, molecular biology and