11 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at UNIVERSITY OF SYDNEY in Australia
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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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Australia Application Deadline 14 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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(R3) Country Australia Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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) Country Australia Application Deadline 26 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Researcher (R3) Country Australia Application Deadline 8 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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, mentorship, and stakeholder engagement. About you PhD or BHons in Biomedical Science, Computer Science, Health Informatics, or a related field a developing research profile, with publications in genetics and
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the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes of ecology, interspecies