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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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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