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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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. Proficiency in simulation tools used in analyzing vehicle energy consumption. Passion for and experience in data-driven modeling and analysis. Demonstrated ability to perform vehicle modelling and simulation as
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on chemical recycling processes and organometallic catalysis Perform mechanistic studies using reaction kinetics analysis and related physical organic and inorganic techniques Collaborate effectively within a
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time AI-enabled analysis of high-throughput, multimodal experimental data with uncertainty quantification Integration of edge computing, high-performance computing (HPC), and scientific data
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materials. This position will primarily involve organic synthesis lab work and electrochemical testing and analysis of new materials. Previous experience with electrochemical analysis or battery testing is
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and scientific analysis. This position offers the opportunity to collaborate closely with experimental teams working in areas such as electrochemical characterization and synchrotron analysis, as
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results, and in the development of technical reports and presentations is required. Knowledge of the use of computers to design and control experiments and to analyze and interpret experimental data is
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and interpret experimental data and share research findings through scientific conferences and peer-reviewed publications. Key Responsibilities Conduct research on the distribution and behavior
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work both independently and collaboratively in a team