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The Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN MACHINE LEARNING FOR NATURE CONSERVATION starting from August 2025 or as agreed. The Postdoctoral Researcher will be
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for outstanding Postdoctoral Researcher in Distributed Machine Learning and Optimization for Multi-Agent Wireless Networks. Are you a highly motivated researcher with a strong mathematical background in distributed
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of Artificial Intelligence/ Machine Learning. We are committed to fostering an inclusive environment with people from diverse backgrounds, and researchers from underrepresented groups are particularly encouraged
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for Postdoctoral and/or Doctoral Researchers in multiple areas of Artificial Intelligence, Machine Learning, and Algorithmic Bioinformatics. We are committed to fostering an inclusive environment with people from
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dysfunction. An ensemble of multi-scale computational approaches (molecular dynamics simulations, quantum chemistry, machine learning) are applied to study the mechanistic aspects of biomolecules in great depth
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research on emotion AI, learning processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both humans and machines, emphasizing mutual
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processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both humans and machines, emphasizing mutual understanding and learning from
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applying tools from computer simulations and machine learning. The position is fixed-term and the starting time is 01.06.2025, or as soon as possible thereafter, based on mutual agreement. The contract
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21 Feb 2025 Job Information Organisation/Company University of Oulu Research Field Computer science » Other Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Country
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humans and machines, emphasizing mutual understanding and learning from each other in their co-evolution. We propose building the metaverse idea by combining our physical and virtual realities towards a