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Australian National University | Canberra, Australian Capital Territory | Australia | about 15 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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, cognitive neuroscience, and data science, our mission is to better understand the network structure of the human brain and how it contributes to cognition, aging, and mental health. Job description
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0098 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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research experience. Proven track-record analysing large-scale ‘omics and/or healthcare datasets, preferably in cancer genomics. Experience of advanced coding in Python or R plus Shell scripting; familiarity
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to Infectious Diseases Study (DiCAIDS)”. This collaborative project aims to develop a no-code, user-friendly computational platform for modelling the correlates of immune protection against some infectious
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information on the CRC’s research and its projects can be found at https://www.sfb1372.de/ The CRC hosts a state-of-the-art research infrastructure including a large interdisciplinary network of researchers
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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. Situated in the heart of Singapore’s Singhealth Academic Medical Center, Duke-NUS offers postdocs access to advanced core facilities, integration with national clinical networks, and a uniquely collaborative