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communication analysis to promote consumer engagement in respiratory-related media campaigns in community pharmacies and their impact. This includes the development of an implementation toolkit and its
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students
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trips, and proficiently conducting labora tory analyses. c. good understanding of soil carbon cycle, Australian native flora and soil laboratory and statistical analysis. d
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation