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using FRF and FDD models. Execution of fatigue tests on various materials. Numerical, analytical, and experimental analysis of mechanical components under fatigue regimes, additive manufacturing (AM
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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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collection • Skill and interest in data modeling using physically-based numerical and statistical tools Language skills • Fluency in English, both oral and written. Skills in French is an asset. Your LIST
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to
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tissues - development of numerical simulations of gastrointestinal motility - temperature-dependent optical mapping data analysis Where to apply Website https://www.unicampus.it/concorso/contratto-di
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of freedom per dimension d. Foundational kinetic models often have N∼256 and d≥6, making direct numerical simulation intractable with traditional approaches. Through innovative work combining machine learning
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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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computational modelling the primary tool for their safety analysis. The challenge is to develop a methodology that is both scientifically rigorous and practical for safety and licensing efforts. Current transient
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controllers, and PID controls), and preferred sensors (LiDAR and RADAR) is required. Excellent oral and written communication skills. Preferred Qualifications: Familiarity with state-of-the-art models for AI
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness