75 image-coding "Foundation for Research and Technology Hellas" PhD positions in Australia
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies
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Institute for Biomedicine and Glycomics / Institute for Drug Discovery | Australia | about 2 months ago
markers/sensors and ii) automated assays based on high-content imaging systems to screen diverse chemical libraries for new and innovative bioactive molecules. This project will be highly collaborative and
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representation learning paradigm. This approach allows each user to disclose an incomplete yet distinct set of personal information while still learning expressive user representations from that data
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, Biomedical Engineering, or a related field. About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a
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work undertaken uses nuclear medicine-based techniques; or a field of academic study where the work undertaken advances knowledge in the use or application of molecular imaging to understand
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a