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Effective written and oral communication skills Detailed knowledge of laboratory equipment used in immunology, molecular biology, microbiology and/or cell biology such as flow cytometry, imaging, or real time
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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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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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communication and demonstrated computer skills including the use of word processing, spreadsheets and database applications • Demonstrated ability to engage and build trust with diverse cohorts and DET
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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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Skip to main content home Faculty of Science chevron-right Engage with us chevron-right Amgen Scholars Program Faculty of Science Engage with us Amgen Scholars Program Amgen Scholars Program
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professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging
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field and/or education/training 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 new and
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software, and applying computational methods and analysis tools, including finite element analysis (FEA), to optimise designs. Providing leadership and supervision to engineering staff, ensuring research
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data