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(actual letters acceptable but not required, just names and email addresses ) Pay Range: Refer to Posting Language Pay Ranges: The hiring rate of pay for the successful candidate will be determined
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developing, training, and evaluating AI/ML models in research or applied settings, with a record of technical rigor and innovation. Experience with Large Language Models (LLMs) or foundation models, including
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Machine System for Data Quality, our research goal is to create fully automated processes for all phases of the data life cycle. We seek a Postdoctoral Fellow with expertise in Large Language Models (LLMs
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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. Minimum two (2) years of experience with programming language (e.g. Matlab, R or Python) and statistics. Desired Qualifications* Minimum two (2) years of experience to learn systems biology approaches, high
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 11 hours ago
the assessment of artificial intelligence models applied to whole slide images, with a focus on CPATH imaging AI pipeline and cutting-edge technologies such as vision and language foundation models in
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. Pay Range: Refer to Posting Language Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience
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, smart grid systems, or energy storage applications. Experience with vision-language models, large language models, or multi-modal learning systems. For consideration, please apply by Feb. 2, 2026 with
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Job Posting Title: Postdoctoral Fellow, Aphasia Research and Treatment Lab, Moody College of Communication ---- Hiring Department: Department of Speech, Language, and Hearing Sciences ---- Position
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developing, training, and evaluating AI/ML models in research or applied settings, with a record of technical rigor and innovation. Experience with Large Language Models (LLMs) or foundation models, including