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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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change theory and practice, implementation science, and associated measurement and analytic techniques. The candidate is expected to help bridge these domains using validated statistical tools. Applicants
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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Purpose-grown Energy Crop Physiologist – Research Assistant/Associate/Full Professor, Spring 2025 The University of Tennessee - Knoxville: Knoxville Academic Units: UT-ORII Location Knoxville, TN
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& Neuroscience and is located at Guy’s campus. Researchers have access to support facilities in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. We are seeking a Senior Researcher to lead pioneering work in synthetic biology and metabolic engineering, with a particular focus on non-model prokaryotic microorganisms capable of utilizing power
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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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of International Affairs (NUPI) is seeking three Postdoc candidates/ senior researchers (SKO 1109) for the interdisciplinary, ERC-funded Navigator project, which explores the (mis)use of country performance
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future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems