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Field
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simulation models (e.g., using MATLAB) to analyze complex nonlinear optical phenomena. Collaborate with interdisciplinary teams to explore practical applications of ultrafast laser systems. Prepare high
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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Previous experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C
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will lead the design, development, and validation of LinguaRadar – a first-of-its-kind radar simulator for sign language gestures. Your work will involve integrating animation pipelines (e.g., OpenPose
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to appoint one or more postdoctoral fellows beginning in Summer 2025. We are looking for candidates with interests in the use ultracold quantum gases on optical lattices to simulate models from condensed
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. Along the way, you will engage in activities and research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems
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condensed matter physics, quantum chemistry, and materials modelling is needed. This position will contribute to cutting-edge research in density functional theory (DFT)-based simulations for materials
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to understand how the results of collected vapor samples will influence the system at large via optical, thermal, kinetic, and/or rate equation models. Why should I apply? Under the guidance of a
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civil engineering and will focus on nondestructive evaluation, wave field modeling, and AI for the smart maintenance of civil infrastructure systems. The position is also aimed to assist the development
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic