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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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create objective, reliable, and scalable methods for measuring behaviors that support communication, learning, social engagement, and developmental outcomes for children and families. What You'll Do
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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position on advanced modelling and optimization of pyrolysis plants integrated with
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, social scientists, statisticians and software engineers to develop and apply flexible, modular, multi-sector, cross-scale human-climate-impacts modeling framework to advance understanding of multi-sector
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 29 days ago
, and how their deregulation contributes to disease. The lab combines mouse and human organoid models with in vivo approaches and molecular and genomic techniques to study tissue plasticity and
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, social scientists, statisticians and software engineers to develop and apply flexible, modular, multi-sector, cross-scale human-climate-impacts modeling framework to advance understanding of multi-sector
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling