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around understanding how species interactions change over time and space, with a focus on butterfly caterpillar-plant interactions and development of phylogenetic methods. The EvonetsLab is supported by a
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understanding how species interactions change over time and space, with a focus on butterfly caterpillar-plant interactions and development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Kahl (Computer Vision, Chalmers), Kathlén Kohn (Algebraic Geometry, KTH), and Mårten Björkman (Robotics, Perception and Learning, KTH). The research focuses on developing novel machine learning methods
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of quantum computers, and resource theory for quantum computation. They will carry theoretical studies using both analytical and numerical tools, in these subject areas. They will also interact with
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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The two Swedish Centres of Excellence, Umeå Centre for Microbial Research and Umeå Plant Science Centre at Umeå University , are running the ‘Excellence by Choice’ Postdoctoral Programme in Life
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. The Faculty of Health Science and Technology has an opening for a full-time post-doctoral research fellow in Computer Science with a focus on Impact and Risk Assessments, Artificial Intelligence, and Digital
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Ref no: ORU 2.1.1-03065/2025 We are looking for up to three postdoctoral researchers in Computer Science, specializing in Cybersecurity, for a fixed-term position at the School of Science and