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Field
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Postdoctoral Associate- Remote Option Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Linguistics, Psychology, or closely related field. Sign
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Education and Experience The applicant should possess a Ph.D. and publications related to marine boundary layer physics. Experience using the MATLAB scripting language is a requirement. Certifications
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techniques, such as Large Language Models (LLMs) to large-scale datasets. Optimizes existing algorithms for efficiency and accuracy. Preprocesses and cleans raw data from various sources (e.g., sensors
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, learning science and technology, or related disciplines before the start date. Experiences in using large language models to build conversational AI to improve human learning and performance are preferred
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seamlessly interact with the real world. It will require a thorough understanding of machine learning, robotics, and multi-modal learning and large language models. Leading the CMU Safe AI Laboratory, Ding
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/Spanish language would be an advantage but is not required. Job Duties Outlined: The successful candidate will work with Dr. Lee and U01 investigators to tailor Fellowship to individual development plan
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approaches to generative modeling, including geometric graphical neural networks, diffusion networks, and integration with language models. Duties will include: (1) Design and implementation of the models; (2
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gaining) experience with X-CT and remote sensing. Geochemical or geophysical data analysis using R, Matlab, Python, or similar language. Excellent verbal and written communication skills. Collaborative
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preparation and supports technical writing; participates in preparation of grant applications for extramural funding; performs additional duties as assigned. PhD in communication sciences/Speech-Language
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approaches to generative modeling, including geometric graphical neural networks, diffusion networks, and integration with language models. Duties will include: (1) Design and implementation of the models; (2