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principles and practices. You will be confident using educational technologies including learning management systems, content creation tools, learning analytics, and emerging tools such as artificial
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this field. To attain a research workload, an emerging track record of strong theoretically informed empirical research is needed alongside methodological expertise in quantitative, qualitative, or mixed
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials
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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
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delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with experience in clinical data collection and
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visualize biological systems at the molecular level. As a Research Fellow, you will: join a cutting-edge team where your expertise will drive the development of next-generation fluorescent probes and
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. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . Our Finance Operations team is responsible for the management
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the classroom by making key activity traces visible. This project is fundamentally about bridging the gap between substantial work on classroom proxemics, based on qualitative observations; and the dearth
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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of preclinical models. You will also contribute to research infrastructure, including the coordination and processing of biospecimens for downstream discovery science and biomarker development. This is a unique