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Description Postdoctoral Research Fellow in Network Physics of Plant Water–Carbon Transport at the Department of Civil & Environmental Engineering, Duke University Position Summary: The Department of Civil and
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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using techniques from complex-network theory. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1055
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic
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Financial support: 2100-2400 euros/month, net salary The host laboratory is the UMR 6064 CNRS (CARMeN) based in Rouen (Normandy). The research developed within Institute of analytical chemistry and molecular
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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Are you ready to dive into the fascinating world of resilient optical transport networks? We're on the lookout for a talented Postdoc to join our dynamic, international team at the Optical Networks
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of the research initiative. In addition, you will have opportunities to develop e large collaborative projects with forest network partners, including members of the ForestPlots network. You hold a PhD in forest
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addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting patents, and presenting results at conferences. The ideal candidate will possess demonstrated
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
, seasonal and solar cycle dependent variabilities. These different phenomena make characterization of regional ionospheric dynamics a complex problem. New observational capabilities and sophisticated data