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meetings to present and discuss the research outcomes. The HYDROUS project aims to advance green hydrogen production through electrocatalysis by developing novel molecular models to elucidate the fundamental
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welcomed. The collected datasets will be used to calibrate numerical models that simulate future changes in sediment budgets from climate and coastal development scenarios and to support resilient coastal
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surrogate model for giant impacts trained on SPH simulations, and then to analyse the results in the context of the geophysics, geochemistry and dynamics of the terrestrial planets. For more information and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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be contacted if a review of your application results in the intent to pursue your candidacy. All applications will be received and added to the pool; however, currently male- presenting model vacancies
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. Design and modelling of integrated photonic components for sensing applications. 2. Performing multiphysics simulations of photonic and optoelectronic devices.Supporting the design and fabrication
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] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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algorithms Perform large-scale simulations using frameworks such as Qiskit and PennyLane Potentially execute experiments on state-of-the-art quantum hardware Benchmark quantum models against classical and
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sequence models. • Experience with experimental and/or simulation data and their integration (e.g., Digital Twin frameworks). • Knowledge of signal processing and feature extraction techniques is an asset
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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time