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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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of this joint laboratory is towards the development of innovative nanotechnologies and nanomaterials for various electronic and photonic applications. For more details, please view https://www.ntu.edu.sg/cintra
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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-positions-application/list-of-phds APPLICATION Deadline: 15th Apr, 2026 Application open: 5th Jan, 2026 Eligibility criteria and application procedure: https://www.eu4greenfielddata.eu/phd-positions
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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LevelPhD or equivalent Skills/Qualifications - Hold a PhD degree in Communication Sciences and related fields. - Proven experience in immersive audiovisual content production processes - Proven experience in
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consideration. Questions relating to the application process should be directed to Jeremy Brofft, Senior Recruiting Specialist, xmf9ad@virginia.edu . For information on resources for postdocs at UVA, visit https
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical