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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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schools in the Faculty of Engineering, which has a strong position within Australia and worldwide. To learn more about the School, click here . We are currently seeking to appoint a Lecturer (Level B) in
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partners and stakeholders use mechanistic modelling to spatialise crop yield predictions under a variety of data input scenarios use data-driven models and machine learning to better understand the spatio
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collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within the team, you will be given the opportunity to expand your research skills and experience and to grow in your
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Multiple part time (7.5hrs per week), fixed term up to 3 years, employment aligned with PhD enrolment. Located at the Faculty of Science on the Camperdown Campus Excellent opportunity to develop
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Full time, 24 months fixed term opportunity. Located at the Faculty of Science on the Camperdown Campus Contribute to the teaching and learning efforts within the School of History and Philosophy
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(AVBS) and Agricultural Science degrees, contributing to the school’s outstanding teaching and learning outcomes develop and lead large, innovative research programs with strong engagement of external
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aspects of Korean history, culture and society. The incumbent will be expected to teach Korean language and Korean Studies units. In order to take advantage of current popularity of Korean language units
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uncovering the effect of land use patterns on threats to species. Your key responsibilities will be to: contribute to outstanding teaching and learning in the School of Physics, with a focus on
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has: a PhD (or near completion) in Computer Science or related field a publication record in learning theory, differential privacy, and/or randomized algorithms a solid background in theoretical