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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
and orchestration technologies for real-world logistics and decision support. Collaborate with leading experts in Artificial Intelligence and Machine Learning at ANU and Defence stakeholders. About the
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Skills/Qualifications Your profile Required qualifications: PhD degree in Bioinformatics, Artificial Intelligence, Biochemistry, Biophysics, Pharmaceutical Sciences, or a related field Strong background in
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Applicants must have experience in artistic practice and production at a high level. Applicants must have experience in the application of Artificial Intelligence in the arts. Applicants must be able to work
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
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://research.nottingham.edu.cn/en/persons/alain-chong ; Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal Information Processing
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for Artificial Intelligence and Data Science. The Jacobs School is recruiting for two tenure-track faculty positions: Assistant Professor – AI-Guided Organoid-Based Neuroscience The Jacobs School seeks a tenure
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of extensive omics data adaptation and application of methods from explainable artificial intelligence to understand gene regulation at different levels of abstraction adaptation and application of foundation
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, if applicable. Annex 1: Available positions Supervisor: Prof. Núria López Alonso Project (PID): Artificial Intelligence for the Simulation of Materials in Energy (ANIMATE) PID Project Reference: PID2024-157556OB
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gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian