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Field
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs
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, Mathematics, or closely related fields. • Experience conducting experimental, theoretical, or computational research. • Familiarity with mathematical modeling, data analysis techniques, or computational tools
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to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, comparative genomics, chronobiology, insect rearing, and/or ecological
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multi-omics, tumor immunology, and in vivo genetically engineered mouse models. By bringing these approaches together, we strive to generate insights that will translate into better therapies and improved
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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Salary $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are seeking an outstanding Postdoctoral Research Associate in Deep-time Paleogeography and Paleo-climate Modelling to join our
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delivery and caesarean section. This highly interdisciplinary program combines preclinical animal models (zebrafish and rodents) with molecular and cellular biology, biochemistry, and in vitro approaches
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refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical
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, and RNA processing/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in