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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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requirements. Qualifications · Postgraduate degree in Engineering, Computer Science, or a related field About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future
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the below selection criteria (maximum 2 pages): Completion of, or working towards, a degree or certificate in Accounting/Finance and/or relevant experience. Strong computer skills including Microsoft
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high-impact role supports the university’s travel program by ensuring staff and students have access to efficient, compliant, and cost-effective travel solutions. Swinburne University of Technology is
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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/Azure Security). Scripting language Python. 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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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $80,448.78- $107,104.10 + 17% Superannuation (Academic
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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Remote Sensing, Computer Vision, Machine Learning, Plant Science, Agriculture or related field and extensive relevant experience, or an equivalent combination of relevant experience and/or education and
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Appointment Type: 2 year fixed term contract, Full-Time Location: Faculty of Medicine, Health and Human Sciences, Wallumattagal Campus, North Ryde; Hybrid Join Australia’s largest Motor Neuron Disease (MND