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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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for a rewarding career in healthcare. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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stellar interiors, birth properties of black holes and neutron stars, supernova light curves and spectra, gravitational waves, neutrino astrophysics, the production of heavy elements stellar explosions, and
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who is a Principal Research Scientist at CSIRO with expertise in risk-cobenefit assessment of net zero options for sustainability transitions using a range of knowledge sources and methods. Additional
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, and the majority of projects include a field-based component that can span across Australia, offshore non-jurisdiction islands, and various international regions. This is a great opportunity to
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courses, research experience) would be an advantage IELTS score of 6.5 overall, with no less than 6.0 in each component How to apply For general instructions on how to apply for roles at Monash, please