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build consensus on delivery approaches, sequencing, and issue resolution. Direct and inspire multidisciplinary teams across UNSW and vendor partners. Model purpose-driven leadership and create
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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administrators. Host meetings, workshops, and informational sessions to promote innovative healthcare delivery models and position SD Health Link as a trusted resource in advancing technology-enabled access
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Support • Participate in daily assessment of mouse cohorts, including shared weekend responsibilities. • Utilize genetically engineered mouse models to support studies of tumorigenesis and therapeutic
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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Purpose Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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Apply now Job no:538012 Work type:Full Time Location:Sydney, NSW Categories:Information Technology, Analyst Full time continuing role within UNSW IT as a Senior Business Analyst Starting salary is
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methodologies for risk-based inspection and maintenance planning in wind turbine systems. You will work on designing a robust, data-driven decision framework that integrates structural models, probabilistic
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quantitative structural analyses. • A record of collaboration across field/lab/modeling/data-driven approaches and with planetary/terrestrial analog communities. • Evidence of external funding potential (e.g