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Job Description Apply now Job Title: Intern/Aide - Machine Learning Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Up to $15/hour FLSA Status
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Job Description Apply now Job Title: Intern/Aide - Machine Learning Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $15/hr FLSA Status
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updates and technical insights to the supervisor regarding progress in AI model development. Stay abreast of the latest advancements in natural language processing, large language models, and machine
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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improving plant health using machine learning and artificial intelligence. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you have questions about the nature of the research
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This is a two (2) year 100% Contract position. This appointment may be extended or converted to career status based on the needs and funding of the department. The CW3E machine learning team is
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learning) to advance in-silico drug discovery. If you are a senior AI/MD expert with experience in applying machine learning to scientific simulation and a passion for driving innovation, we want to hear
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position is on a 9-month service period with an anticipated start date of Sept 16, 2025. This position is aimed at recruiting an exceptional candidate in the field of physics-based Machine Learning
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/PyTorch) - Maîtrise de Git et LaTeX- English proficiency - Statistics, machine learning background, Optimization - Coding skills (preferably in Python/Pytorch) - Git, Latex Additional Information Work
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. Under the direction of cognizant Federal personnel, participating researchers have opportunities to learn how to lead tasks, explore new research areas for DHS, and participate in networking opportunities