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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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, including Coolant Distribution Units (CDUs), and water-cooled server racks in data center environments. Solid understanding of data centre physical infrastructure best practices, including airflow management
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amphibian species Identify experts on species for input, potentially seek expert elicitations, collate publication and citation data Map species distributions Assist with the organisation and delivery
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outside of our regular hours of 7am – 6pm Monday to Friday. What you’ll do: Perform cleaning duties in all buildings, including but not limited to floors, walls, toilets, showers, kitchens. Distribution and
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responsible for ensuring that content is designed, produced and distributed in a way that is aligned with the organisation’s brand and strategic goals. Establishing streamlined processes infused with technology
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play a crucial part in ensuring the smooth operation of the area, providing essential support across various administrative functions. Key Responsibilities: Create, publish and distribute reports and
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their properties with host galaxies. Using FRBs to investigate cosmological gas distribution and population properties through simulations and the zDM code. Conducting follow-up observations of FRBs and their host
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semester examinations, examination scheduling and supervision thereof. Assist with the tutorial sign on process. Assist with generating and formatting class lists for distribution to tutors. Process
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, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital innovation across all
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms