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language models and large AI models to solve pressing scientific challenges. Polymathic AI has access to computational resources allowing training of large AI models to support this new initiative. We offer
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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: 88419BR Will gain experience in: * Building automated data pipelines between source departments and the enterprise data warehouse. * Working with large-scale HR and workforce data models in Scuba
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provide multiple competitive scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation
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) Application Deadline 18 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les matériaux et structures souples présentent des comportements
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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19 Mar 2026 Job Information Organisation/Company Università degli studi di Bari Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of High-Order Structural Models Based on CUF and Advanced FEM
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computational costs, increased robustness through explicit modeling of kinetic energy, and improved interpretability. Recent results notably show that NHFs require shorter dynamical integrations than diffusion