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in big data analyses and policy reviews, contributing to evidence-based recommendations and strategic health interventions a developing network of academic, industry, and professional partners and
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: Kensington – Sydney, Australia About UNSW UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what
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developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
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to link behavioral, physiological, and immunological data in both healthy and clinical populations (e.g., patients with cancer). In addition to ongoing data collection, the PI has multiple large, PNI
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EHR data processing, data queries, and dashboards Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large Language Model (LLM
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] Subject Areas: Epidemiology / community health , epidemiology , infectious disease , population health , psychiatric epidemiology , public health , quantitative epidemiology or big data , social
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data collection and research plans Establishing and the management of large databases Interpretating and analysis of data, utilising an array of methods and modelling techniques Generating reports and
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. Supported Areas for START - Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability
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driving innovative approaches to the use and analysis of large-scale urban mobility data. As an emerging specialist in urban data analytics, you will collaborate closely with the URBANiQ director and data
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, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness