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schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design using simulation-based parametric studies. Couple computational results with experimental
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. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance Computing. · Experience with High Throughput
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field
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, and general soil engineering applications. Responsibilities include performing computational simulations, designing and carrying out experiments, processing data, preparing progress reports, publishing
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, sediment transport, geopolymer development, and broader soil engineering applications. Responsibilities include performing computational simulations, designing and executing laboratory experiments, analyzing
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of the training process in Premier League football players. This is a unique opportunity for an enthusiastic, collegial, and high-performing researcher seeking to embed themselves in a high-performance sporting
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 8 days ago
38.5 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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—are especially encouraged to apply. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML development, and High