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, analysis, machine learning, and large language model (LLM) skills using Python? Do you have a strong understanding of quantitative methods and business decision-making processes? If you're passionate about
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interdisciplinary approaches while drawing on our departmental strengths in the core sciences. Our Pittsburgh Supercomputing Center (PSC) within MCS is seeking a Machine Learning Research Engineer. In this role, you
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and Machine Learning Intern will report to Kelly Brock and Ayan Paul, research scientists at EAI. Projects will revolve around understanding how genotype influences phenotype, including applications
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libraries. Experience with modern deep learning frameworks (e.g., PyTorch). Experience in using Large Language Models in real-world use cases. Experience in working with large datasets. Knowledge
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learning systems, models, and schemes Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains Searching and selecting appropriate data sets before
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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skilled students and young people skilled in the techniques of data preprocessing, machine learning, and also building and supporting Python services and systems. The position will be remote, primarily
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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 per hour FLSA
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position with a strong preference for candidates with a background and expertise in aviation operations, air transportation systems, and machine learning/AI. The School of Graduate Studies offers an MS in
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows