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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical reactor
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. The successful candidate will be joining the Functional Optoelectronic Nanomaterial group led by Prof. Dr. Gerasimos Konstantatos. The successful candidate will be responsible for: Synthesis, optimization and
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the fabrication process Your Role: Develop & test acoustic metamaterial concepts for Megahertz frequencies Conduct numerical simulations of sound fields at the unit cell and device level Optimize geometries
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
use it to refine and optimize fabrication processes, establishing a tight feedback loop between detector behavior and process adjustments. Responsibilities may include: Developing and evaluating new MBE
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, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and
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/ Deep Learning Knowledge of: Active learning, Bayesian optimization Reinforcement learning or decision-making systems Experience with: Python ecosystem (PyTorch, Scikit-learn) Data pipelines and
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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. In particular, the interplay between surface properties, wafer morphology, and the resulting bonding performance is still largely optimized empirically. In this postdoctoral project, you will develop
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets