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Field
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methods for measuring community participation Accessing, cleaning and preparing data for analysis Operationalising the measures of community participation in the data Estimation of statistical models
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
for robotics. This project is a collaboration with the Australian Defence Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under
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to cutting-edge research at the intersection of artificial intelligence and life sciences. Responsibilities: Develop and implement new methods for the analysis of biomedical images, with a focus on brain
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, modelling missing data for IPDMA, estimating sample parameters from incompletely reported data, and using optimal test assembly methods to create short-form measure; and (3) meta-research on bias from data
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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qualified Research Fellow to join our research team on the project titled “An Integrated Multimodal Quantification Method to Designing Landscapes for Well-being”. This project aims to extend upon previously
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, linking Census of Manufacturing data with data from the National Labor Relations Board and the Federal Mediation and Conciliation Service using name-and-address matching. The production of the estimates
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to optimize training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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Australian National University | Canberra, Australian Capital Territory | Australia | about 10 hours ago
Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore