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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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: 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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account for the uncertainty in current geophysical data, in order to assess the potential for sustainable energy production and resource use. You will be a key part of the Geosolutions Centre within the
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, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists
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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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biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows
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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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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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at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will