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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
for research that benefits Indigenous communities – in a relevant disciplinary area, including Human-Computer Interaction, Media Studies, Digital Cultures, Digital Sociology and Digital Humanities
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training in research methods, publishing, grant writing, and career planning. How to Apply This is a two-stage application process: Initial Screening and Interview Interested applicants should email the
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wisdom and leadership. We support applicants with disabilities. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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. Your project will explore Stream Finishing, a cutting-edge surface engineering technology that offers unmatched precision and control over traditional methods. You’ll investigate how process parameters
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to research in dementia or complex trait genomics Not receiving any other full PhD scholarship or stipend Application process Please contact us via the EOI form . Enrolment Requirements Recipients must complete
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will help increase the material recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will
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relationships. The candidate will examine the choreographic development process and performance outcomes of the project and assist development of a methodological framework for capturing, assessing and reporting