156 information-humanities-"https:"-"https:"-"https:"-"https:" PhD positions in Australia
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PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics Job No.: 696616 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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We have several PhD opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier
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PhD Stipend Scholarship – School of Primary and Allied Health Care, Monash University (Human-Animal Interactions) Job No.: 694169 Location: Peninsula campus Employment Type: Full-time (or part-time
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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process, including downstream effects on other clinicians, patients, information flow and safety. This PhD project will examine the system-level impact of health AI, using human factors and systems
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human research, laboratory or field-based physiological testing, hydration or thermoregulation research, and quantitative data handling would be highly desirable. Familiarity with repeated-measures
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning