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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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and continued funding. Fellows in the postdoctoral track are not required or expected to teach, but if they wish, they may have the option of teaching. Teaching opportunities are subject to sufficient
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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Job Purpose To make a leading contribution to a Department of Defence Treat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided
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Job Purpose To make a leading contribution to a Department of Defence Threat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided
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monitoring approaches (e.g., machine learning, real-time sensing). Sponsorship / work rights forAustralia You must have unrestricted work rights in Australia for the duration of this employment to be eligible
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7