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postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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involves the creation and ongoing maintenance of numerous distribution lists, and offering guidance to YSM communicators on the appropriate audiences that should be included in each distribution
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into refining computational strategies for large-scale molecular simulations in materials science and computational physics. The project will involve substantial numerical development, including algorithm design
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technology, spaceflight robotics, dust astronomy, astronautics, electric and advanced space propulsion, the experimental and numerical simulation of atmospheric entry phenomena, the development and deployment
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the Dutch Research Council (NWO). The successful candidate will play a key role in developing software packages used for numerical relativity simulations, modelling gravitational wave sources and data
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management with the focus on computational efficiency and practicality. Review existing analytical, numerical, and data-driven models related to battery management in SDVs. Multi-domain battery modeling and
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criteria - Master simulation tools such as SPICE, VHDL(-AMS), Cadence, as well as calculation and modeling tools such as Matlab/Octave or Python. Skills in finite-element type numerical simulation will be a
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that embed the structure of governing physical laws, enabling