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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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@adelaide.edu.au You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device) We are an Equal Employment Opportunity employer committed to providing a
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Institute - SAiGENCI, and Adelaide Centre for Epigenetics – ACE. E: luke.isbel@adelaide.edu.au You'll find a full position description and/or selection criteria below: (If no links appear, try viewing
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the Cancer Epigenetics Program at the South Australian immunoGENomics Cancer Institute – SAiGENCI. E: qi.zhang@adelaide.edu.au You'll find a full position description and/or selection criteria below
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the optimal habitat reconstruction for declining bird species, how to best engage community and landholders in the recovery effort, and priority species-specific objectives for guiding restoration actions and
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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. Summary: Effective control of locust outbreaks relies on the early detection and monitoring of locust hopper bands before flying swarms form. To reduce the environmental impact of locust control operations