101 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions in Australia
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communities. Key responsibilities: Manage and analyse large datasets using R. Conduct statistical, predictive, and machine learning analyses. Contribute to research publications, reports, and
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Full‑time, 3-year fixed term opportunity with potential to extend Join the Snow Vision Accelerator to drive a new research and drug‑development initiative at the University of Sydney’s School of
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to
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categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Life sciences Job Type Academic Posts
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purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters You will bring strong theoretical and practical expertise in Computer Science, Electrical Engineering or
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programming, with experience in AI, machine learning or data-driven materials research highly desirable · a strong publication record, excellent communication skills, and the ability to work
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, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and magnetometer data field experience deploying
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of sorghum agronomy, integrate agronomic, survey and decision data using qualitative, mixed-method, statistical and machine-learning approaches, and translate findings into transparent and practical
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within a multidisciplinary research environment. Experience with quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative omics
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the interview stage. A two-year fixed term, full time (37.5 hours per week) position. View the full Position Description for this position at: https://careers.sciencenewzealand.org/niwa/about-us