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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 14 Sep 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Not Applicable Job Status Not Applicable Offer Starting
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Fotograf Morten Hjertø 4th October 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in Control Systems Nuclear
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algorithms for digital health and AI-driven research projects. Lead technical innovation by exploring and implementing emerging AI methodologies. Support data platform development and retrospective data
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
to their field of expertise, contribute to the supervision of Honours and PhD students, work collegially with members of the ANU community, undertake suitable service tasks, and engage in impact and engagement
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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control Contribute to educational activities that expand AI literacy and promote the responsible use and evaluation of AI in veterinary medicine Mentor graduate students (MS/PhD) and postdoctoral fellows in
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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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1st October 2026 Languages English Norsk Bokmål English English PhD Research Fellow in Information Systems on AI, Digital Platforms, and Extremism Apply for this job See advertisement About the
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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency