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-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling, multiphysics systems
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combine advanced numerical modeling with experimental demonstrations to investigate electromagnetic wave propagation in time-varying THz waveguides. Job description Develop numerical simulation
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starting materials such as metals and plastics while considering quality, cost and sustainability implications. Manufacturing methods include, but not limited to: computer numerical control (CNC
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develops AI methods that transform population-scale human data into mechanistic models of disease. Our research integrates large-scale human genetics with molecular and clinical data to generate testable
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 21 hours ago
-order predictions together with heterogeneous observational data. • Integrate data driven methods into a framework for uncertainty-aware ocean state estimation. • Apply and validate the framework using
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frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI
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experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise : Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience
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them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments
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them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments
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electronic devices based on microbially produced protein nanowires. These biologically derived conductive materials enable sustainable approaches to energy harvesting, neuromorphic computing, and biosensing