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the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a postdoctoral researcher to work on funded research projects focused on the development and testing
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 28 days ago
and unintended demographic consequences of medical progress. Our mission is to advance the field of medical demography by building on existing approaches and developing new conceptual, methodological
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well defined or understood. This lack of understanding holds for countries that are developing quantum technologies and even more so for countries that do not share in this development. In order to
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 7 days ago
seeking a highly motivated and collaborative postdoctoral researcher to help develop the next generation of cancer immunotherapies. Our research integrates cancer immunology, T-cell and protein engineering
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 7 days ago
research, or therapeutic development. Research Focus The successful candidate will investigate the molecular and epigenetic mechanisms that regulate immune-cell behavior, with particular emphasis
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission, including scientific machine learning, surrogate development, and integrated core-edge simulation and
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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international research environment dedicated to developing functional molecular architectures for light harvesting, photocatalysis, electrosynthesis, and optoelectronic applications. The research activities will