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(descriptive and inferential statistics) Survey design and analysis Software skills: SPSS, R, SAS, Stata, NVivo Interviews Thematic or other types of qualitative analysis Mixed-method integration techniques
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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of new data to inform the development and testing of a new contemporary model of work. Skills and Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline
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violence, with a focus on LGBTQ+ communities. To be considered for this position, you will have; Skills and Experience Completion of a PhD or equivalent qualifications or research experience Experience in
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& Innovation Precinct Innovation and Entrepreneurship Industry Research and Commercialisation Industry focused PhDs See all Industry and Community Local and global engagement La Trobe Sport International
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challenging problem due to the limitations of classical algorithms. These methods often struggle with the complexity and scale of accurately predicting mRNA secondary structures. This pilot research project
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records of stock levels and equipment usage. Familiarity with simulation control software, audiovisual recording systems, and digital platforms used in blended learning environments. Please refer to
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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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. Contributing to funding applications and dissemination of research outcomes. Skills and experience: To succeed in this role, you will have: A PhD or equivalent research experience in a relevant discipline
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qualifications such as Indigenous Knowledges and professional research or consultation experience. Have experience of working successfully with Palawa Community members in formal settings, such as a Tasmanian