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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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at the Stanford Center for Human and Planetary Health (HPH) (link is external) , is pleased to offer an exciting opportunity for a postdoctoral fellow interested in advancing interdisciplinary research and making
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The Peng group at the Andlinger Center for Energy and the Environment and the School of Public and International Affairs is seeking applications for postdoctoral or more senior research associate
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, geneticists, and computational biologists across the Department of Entomology, the Cornell Institute of Host-Microbe Interactions and Disease (CIHMID), and allied programs. Support for conference attendance
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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Active Learning Initiative (ALI). The Postdoctoral Associate will participate in ALI programming, including weekly fellows’ meetings and program evaluations such as surveys and classroom observations
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-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans
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-free in the UAE (for U.S. tax purposes, the Foreign Earned Income Exclusion may apply). The postdoctoral researcher will have dedicated funds for travel, computing, publications, and other research needs
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Classification Title: Post-Doctoral Associate in Philosophy and Ethics of Artificial Intelligence Classification Minimum Requirements: A PhD in Philosophy, Computer Science, or another AI-related
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of the following: computational analysis of human movement and/or vocalization, time series analysis, pattern finding, statistical modelling, audio feature extraction, music information retrieval, machine learning