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service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping
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vision for future research and practice in the visual and material medical humanities. We understand visual and material to refer to both artefacts (including but not limited to images, objects and
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blotting, and DNA/RNA extraction. Performing advanced imaging and analyzing cellular signaling pathways. Supporting routine laboratory tasks and ensuring the smooth operation of the lab. Collaborating with
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Postdoc in Multispectral Imaging and Imaging Spectroscopy of Ecosystem Spectral Diversity and Fra...
applicant will be working on multispectral imaging and imaging spectroscopy across scales as part of the project SABiOS: guiding Sustainable Agriculture and Biodiversity management with earth Observing
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International Traffic in Arms Regulations (ITAR). About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype
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in plant and microbial sciences. We nurture a creative, curiosity-led approach to answering fundamental questions in bioscience, and translate that knowledge into societal benefits.Our strategic vision
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criteria: - Criterion 1 - Knowledge in the scientific areas of the project such as image processing; Computer vision ML/AI algorithms development; 3D modelling software - Criterion 2 - Knowledge
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Job related to staff position within a Research Infrastructure? No Offer Description Computer vision enabled, biosinpired additive manufacturing Job description Current additive manufacturing systems
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing