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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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quantitative, qualitative, or mixed research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great
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research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
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. This program of work will engage three PhD students, each from a different background (technical, psychology, design/HCI), to contribute their expertise towards enhancing the helpline service and improving
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technologies, including equipment and software, and a demonstrated ability to quickly adapt to and master new systems. Experience working in or managing a PC2 Lab, with a solid understanding of PC2 compliance
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied