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Field
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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landscape through the application of digital technologies and participatory methods, and to promote collaborative processes among researchers, decisionmakers, and communities. Expected outcomes include new
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and the digital health landscape, including how health technologies operate in practice · understanding of strict governance, ethics and safety processes in healthcare research (ethics submissions
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/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the
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T-BIOM Preferably publications related real/AI generated image classification, biometrics or video processing Strong software implementation skills. Preferably 4 years+ research experience, including
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learning, as well as in digital signal processing and acoustic imaging. The group includes around 20 postdoctoral researchers and PhD research fellows funded by a range of national and international agencies
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: Immunohistochemistry (IHC) Immunofluorescence (IF) Digital pathology and image analysis Tissue microarray (TMA) construction/analysis Familiarity with tumour microenvironment characterisation, including immune
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staff position within a Research Infrastructure? No Offer Description Research activities focus on advancing geospatial analytics and Earth observation (EO) image processing through the development
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and/or diplomas, if applicable. Enrolment in Master's degree in Computer Science or Informatics Engineering. Work plan: The objective is to develop a prototype system that processes structured
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the