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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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feature maps and emerging quantum‑inspired or hybrid computational approaches to machine learning. Potential applications span time‑series analysis, dynamical system modelling, and the data‑driven study of
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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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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering
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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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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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Power Platform, including Model‑Driven and Canvas Apps, Power Automate, Power Pages (Liquid, authentication, portal customisation), and Power BI analytics. Strong Azure PaaS engineering skills, including
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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
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this cross-functional role, the postdoctoral fellow will develop AI-driven methodologies to bridge the gap between genomic evidence and safety outcomes, addressing a critical challenge in pharmaceutical
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expertise in design-driven approaches to coastal development, sustainable tourism, and the yachting sector. The position aims to reinforce the laboratory’s interdisciplinary team and contribute