337 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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, forums of public debate, organisation of public events, seminars, and conferences. About you PhD in social sciences or humanities, including political sciences, philosophy or anthropology expertise in
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respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Principal Research Fellow in Stem Cells, Biomaterials & Ageing who has: A PhD
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
. This position is a fixed term appointment for a period of 2 years. Research Fellow – Electrocatalysis for Hydrogen Production Material Scientist or Chemical/Electrical Engineer - Catalysis Open to PhDs in
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within the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group , this position offers the opportunity to lead all aspects of trial preparation and execution, including
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to research training. Responsibilities will include: Leading an innovative and impactful research program Strengthening national profile and emerging global presence Pursuing and managing external research
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closely with academic staff and provide guidance and support to junior researchers and students involved in the project. Ideally you will have a PhD in Economics of Education or expect to receive it by
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Research Collaboration (MQ Collab), a three-year research program focused on advancing Road Transport Psychology and Road Transport Safe Systems. With over 30 staff and postgraduate scholars, the key areas
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: Research: Contribute to an established research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and
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they will need in an increasingly disrupted and challenged world. The Research Fellow will be located in the MAIC-QUT Road Safety Research Collaboration (MQ Collab), a three-year research program focused
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and