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using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot assessment, and longitudinal tracking. Collaborating with technical partners (e.g. on digital
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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and disseminating ethnographic fieldwork an internationally oriented research profile, as documented by a PhD dissertation and/or research publications experience in independently managing research
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contains an activating mutation. Click here for full job description About you You will bring: PhD in a relevant biological science, ideally in structural biology* Good knowledge and experience of Cryo-EM
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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD degree in Computer Science or Applied Mathematics Strong publication track record in
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reputable scientific journals and present at relevant conferences to contribute to the academic and professional discourse in their respective field. Supervising PhD Students: Collaborate with and provide
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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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comparison, and interpretation in a clinical context Preparing manuscripts for publication and presenting findings at national and international conferences Required qualifications PhD in psychology
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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, and trajectories of gambling engagement. You will be working alongside economists and statisticians who have a successful track record of research and impact in this field. The successful candidate will