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the setup, calibration, and maintenance of molecular biology equipment (e.g. PCR machines, liquid handlers). Running samples through analysis equipment and assisting in troubleshooting. Maintaining laboratory
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Job Reference: 1007186 We are seeking an enthusiastic Administrative Officer to join the team within the Learning and Teaching Portfolio in the Faculty of Business and Law . In this role you will
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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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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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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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
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technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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developments like automation, predictive analytics, artificial intelligence and machine learning, allowing for increased efficiency while reducing costs and keeping employees safe. To ensure our students and are
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. Exceptional customer service with strong written and verbal communication skillset. Demonstrated computer literacy with proficiency using the Microsoft Office Suite. Experience in venue management system