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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 14 days ago
estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision). The School/Department The School of Engineering brings together a
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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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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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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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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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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/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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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