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Field
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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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on dataset development and preparation for analysis; assisting with data exploration, quality control, and troubleshooting; synthesizing literature related to trauma, clinical decision rules, and diagnostic
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particle collider and make particle beams more accessible for uses such as medical imaging. However, reaching very high particle energies in plasma accelerators is challenging. We are offering a postdoctoral
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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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from human blood and their culture, diverse range of mammalian cell lines, flow-cytometry analysis, microbiome analysis, and functional assays to better understand role(s) of specific metabolites
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nematode culture and behavioural experiments is essential. Significant experience in confocal microscopy and automated image analysis using software such as IMARIS. Extensive research experience in terms
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assistance for the fall prevention modelling project lead qualitative research activities including co-design workshops, participant interviews, thematic analysis, and report writing contribute to data
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to appoint a Postdoctoral Fellow in Neuroimmunology (Westmead campus) who can apply and refine their expertise in single cell analysis and flow cytometry methodologies, design and delivery to contribute
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, including both 2D and 3D cell-based techniques such as organoids used to mimic human structures and disease states. capability using data analysis software, including at a minimum GraphPad, ImageJ, excel, and