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humanitarian law/ environment; (2) trade and climate change/ technology; (3) sustainable development and economic law; and (4) cybersecurity/ IHL/ international criminal law. Preference will be given
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major challenges in important applications including marine domain and neuroscience. The candidate is expected to assist in supervising students at both master's and PhD levels. This project is funded by
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
researchers, educators, and international researchers in a collaborative environment. Academic Level B – Research Fellow The Research Fellow will take on a broader academic role, conducting independent research
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for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways
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to demonstrate: A Completion of a PhD in a health-related discipline. Experience in qualitative and/or quantitative research methodology. The ability to plan and execute data collection and analysis. Experience
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of view. Hence, the work will be conducted in a highly interdisciplinary research environment and the candidate will collaborate with international teams consisting of clinicians, researchers in
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degree (or equivalent) or a Masters degree in Criminology or Social Science. Have or be about to obtain a PhD in a relevant subject (within 6 months). Sufficient experience of engaging with statutory
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research creating innovative responses to significant problems with a focus on technology, environment, and health. The School of Law has also built a reputation for teaching excellence, producing graduates
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an impact, apply to join our team! Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research