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and publications, will be key to your success in this role. You will also have: A PhD in computer science or closely related discipline; A record of high-quality algorithmic research in machine learning
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international collaborators. Skills and Experience You must have: A PhD in a clinical area of research, particularly in clinical epidemiology (applicants must have a PhD at the commencement of the contract
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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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), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
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looking for a Postdoctoral Research Associate 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
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skills to contribute effectively to the research efforts of CHeBA and UNSW. Skills Required: A PhD in Neuroimaging, Data science, Engineering, or a related field or a recently submitted PhD thesis with
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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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, electrolyser engineering, and green hydrogen production. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within
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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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. This position will report to the project principal investigator A/Prof Michelle Tye and supervise one direct report. Skills Required: A PhD in public health, psychology, or a related discipline, and/or relevant