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Fellow to support its growing maritime security research program. The successful candidate will work closely with senior colleagues to contribute to ongoing projects and develop a research agenda aligned
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and beyond. About You We're seeking a passionate individual who thrives both independently in a research environment and as a collaborative member of the History program. As the successful candidate you
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. The Postdoctoral Fellow will have a unique opportunity to be part of this world-leading and agenda-setting research program. The Discovery Postdoctoral Fellow will report to Professor Lucas Lixinski (Law & Justice
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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Deadline 7 Sep 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
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:00 (UTC) Type of Contract To be defined 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 a
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, the Research Fellow/Senior Research Fellow will conduct outstanding research as a member of the Program in Biblical and Early Christian Studies. Their area of specialty may be related to New Testament and/or
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational