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demand, supply, and market trends. 2) Analyse Energy Data Collect, clean, and interpret large datasets from various sources. 3) Monitor and Validate Model Performance Continuously evaluate data accuracy
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analyses and visualization of large data sets in R Strong written and oral English language skills If you do not already have educational competence that meets the requirements for a position as associate
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detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D
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, many of whom have attracted top national and international distinctions. Moreover, we are home to a talented group of professional track and postdoctoral faculty, and a large and diverse population
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exciting opportunity to work on a project that is a priority area for them. The successful applicant will be leveraging their data science expertise to work on a complex large linked primary care dataset
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
. For more information about these positions, please contact Associate Professor Bram Slagmolen on T: +61 2 61259094 or bram.slagmolen@anu.edu.au . We offer: Flexible working arrangements including hybrid
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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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: 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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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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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