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experience in wireless communication systems as well as familiarity with design and training of state-of-the-art large generative AI models, e.g. Diffusion Models, Multimodal Large Language Models, etc
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of undergraduate and graduate students Job Requirements: PhD’s degree in exploration seismology, applied geophysics, or related field At least 3 years of relevant experience in geophysical modeling and inversion
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computational seismology, specifically AI-driven full-waveform inversion using diffusion-model approaches. Responsibilities Perform research in AI-driven waveform inversion using diffusion models. Investigating
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neurodegenerative processes. Responsibilities: Conduct biochemical, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments
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The Position This will involve experimental design, software development and data science, carrying out research and development of models to predict and diagnose asset health condition. Candidates
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faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Change Climate Science Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime
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different approaches. • Construct mathematical models that capture meaning problem formulations, and identify why existing methods are insufficient. • Develop solutions in the form of algorithm design
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to protocol development, power/sample size considerations, and statistical analysis plans develop and apply advanced modelling approaches (e.g., survival and competing-risk models, causal inference methods
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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which