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information about contraception and pharmacists are willing and interested to provide this care. This project will involve the development, implementation and evaluation of a video animation that seeks
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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Chiral molecules
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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Status: Closed Applications open: 15/07/2024 Applications close: 1/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information The project aims to develop
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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Chan Aung, Dr Myra Thiessen, and Dr Indae Hwang Industry Collaborators: Micro-X Inc. (SeaTac, WA) and ARPA-H (USA) Setting: Embedded within a large-scale, international, design-engineering-clinical
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discipline, complete an expression of interest (EOI). The steps are: Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science (qut.edu.au
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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The project will involve critical analysis of existing academic literature, participatory and co-design with users, development of novel technology prototypes, and evaluation using qualitative and