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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment to a postdoctoral position at Lund University requires
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the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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). Printed Material Characterization (MatC). Numerical Modeling (NM). Geometry Optimization (GO). Structural Health Monitoring (SHM). Closure of the project (C). Phase(s) for which the offer is intended: 2
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Description Mission: Manage and execute tasks related to morphodynamic modeling and data analysis. Functions to be developed: Design and execute advanced numerical simulations with the Q2Dmorfo model. Manage
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of neutron, gamma-ray, and heavy charged particle spectrometry in the context of radiation protection, using active and passive spectrometric methods. Performing numerical modelling of radiation transport and
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The advent of large galaxy surveys such as Euclid poses numerous modeling challenges
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Intelligence (DFKI), invites applications for a postdoctoral research position. The group develops foundation models, large language models (LLMs), and agentic AI systems for scientific discovery, engineering