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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and
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. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model
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calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 19 hours ago
stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python