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Current UC employees must apply internally via SuccessFactors Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to 53,235 students, nearly 12,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research...
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methodologies. Proven proficiency in thermodynamic modeling using FactSage, CALPHAD, and complementary simulation platforms like Aspen Plus. In-depth knowledge of electron microscopy, spectroscopy, and structural
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to: • Select and implement appropriate coarse-grained models and parameters • Select and implement appropriate advanced sampling techniques • Execute and analyze the required simulations • Communicate findings
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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Electrodynamics General Circulation Model (TIE-GCM) is a global 3D numerical model that simulates the coupled ionosphere-thermosphere system from ∼97 to ∼600 km height. It self-consistently solves the fully coupled
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harmonized multi-model datasets of high-resolution decadal and multi-decadal scenario simulations for the three European target seas, and (ii) demonstrators of climate services at European Sea basin, coastal
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emissions modeling. Simulation & Optimization Framework Build and validate a dynamic simulation model of mine haulage operations. Integrate multi-objective optimization to explore trade-offs across cost
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and uncertainty analyses to quantify trade-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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people from non-technical backgrounds Experience with developing or deploying light weight models in environments with restricted resources (e.g. outside of HPC environments) Downloading a copy of our Job