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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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relying on optical measurement techniques for fluid mechanics, such as particle image or particle tracking velocimetry. Work with graduate and undergraduate students to fabricate and test prototypes, using
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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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The Interfacial Processes Group of the Chemical Sciences and Engineering Division is seeking a Postdoctoral Appointee. The successful candidate will perform research on the structure and reactivity
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for preclinical imaging with opportunity to gain a variety of translational research skills, including advanced image processing, data analysis, and novel imaging techniques, such as MRguided Focus Ultrasound
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(transcranial magnetic stimulation (TMS), intracranial electrical stimulation (iES)) concurrent with functional magnetic resonance imaging (fMRI) or intracranial electroencephalography (iEEG), and brain lesion
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verbal communication skills. Ability to manage complex projects. Work Location: Main Campus – College Station, TX. About The Department of Electrical and Computer Engineering: The Department of Electrical
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associate position with a focus on natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in industry, education, and public
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong