104 data-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions in Australia
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, Biostatistics, Computer Science, Health Informatics, or a closely related discipline. Demonstrated experience working with large, complex and longitudinal research datasets, including data cleaning
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viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD in Computer Science, Artificial Intelligence, Digital Media Forensics, Cybersecurity, Data Science, or a
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seek to appoint a Postdoctoral Research Associate / Research Fellow in Multi-Omics Data Science to work in the Snow Vision Accelerator at the University of Sydney, with a strong focus towards
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% superannuation About the opportunity We seek to appoint a Postdoctoral Research Associate / Research Fellow in Multi-Omics Data Science to work in the Snow Vision Accelerator at the University of Sydney
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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machine vision species classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures
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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance