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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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Apply now Job no:584181 Work type:Casual Location:Melbourne - Burwood Categories:Arts Dr Mia Martin Hobbs seeks a PhD candidate for her DECRA project ‘Race, Gender, and Violence in Western
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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focused on the genetic and molecular analysis of sleep and circadian rhythms. This role is ideal for a recent graduate seeking 2–3 years of hands-on research experience prior to pursuing a Master’s, PhD, or
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machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia
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of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules
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and/or engineering education, smart infrastructure, energy systems, biotechnology, human–machine systems, and sustainable engineering. Key Responsibilities Teach engineering and/or general education
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related field. Strong knowledge of machine learning. Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and
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in biochemistry or a related field required Advanced degree (Master’s or PhD) preferred Three or more years of lab experience, including at least one year of supervisory experience Skills
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner