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Ranger Uranium Mine
Featured Seminar/lecture/forum

An eDNA/Omics Strategy for the Ranger Uranium Mine

Menzies Remote Research Impact
Featured Conference Workshop

Remote Research Impact Workshop

CDU Student Stories RIEL
Featured Research Seminar/lecture/forum

Informing conservation planning for threatened river sharks

Brisbane Nursing and Midwifery
Featured General

Information Session CDU Nursing and Midwifery

Zara Tenario-Ramoso - Balancing life and big dreams
Featured Alumni Seminar/lecture/forum

Webinar: Not in the textbook - Balancing life and big dreams

Ryan Chapman - Turning passion into impact
Featured Alumni Seminar/lecture/forum

Alumni webinar: Not in the textbook - Turning passion into impact

Charlie King holding a football
Featured Seminar/lecture/forum

Vincent Lingiari Memorial Gathering

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The in-depth observations of First Nations seasonal calendars could be key to improving solar power forecasting, according to a world-first study by Charles Darwin University (CDU). 

The study combined First Nations seasonal calendars with a novel deep learning model, an artificial intelligence technique, to predict future solar panel power output.

Solar is one of the world’s leading renewable energy alternatives but there continues to be challenges with the technology’s reliability. 

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