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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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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