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are interested in pursuing a PhD in Sport Pedagogy. This includes the teaching of physical education and curriculum development in schools, addressing key issues such as understanding behavioural processes and
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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of over 30 years in the Department of Electrical and Computer Engineering. Students from her very first PhD graduate in 1985 to current lab members expressed deep appreciation for her profound generosity
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supports female tertiary students intending to take a full-time course of study in science, technology, computer engineering, mathematics, data science and cyber security at any New Zealand tertiary
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Status: Open Applications open: 16/06/2025 Applications close: 12/09/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
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longitudinal data - Strong conceptual and written communication skills - Knowledge of existing literature on trauma, aggression, and family processes Preferred Qualifications - Staff and graduate student
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combination of education and experience. Computer knowledge is essential, MS Excel, Word. Experience in using and developing assays for analytical equipment including but not limited to GC mass spectrometry and
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the following tasks across the different methodologies: setting-up, participant recruitment, data collection, data analysis, write-up, and producing infographics and presentations. They will also support the team
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 957502 Vacancy Open to All
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or