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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
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of a networking cluster for developing the tuned model and emulating resource-constrained system clusters. Access to these platforms will enable computing at scale and, combined with access to unique
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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generative AI methods such as GANs, VAEs, transformers, or foundation models (LLMs, TSFMs). Ability to design and conduct computational experiments, including model training and evaluation. Experience with
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language models from LLMs. Demonstrated publication record in the machine learning and AI field. Excellent programming and computer science skills. Preferred Qualification: Doctoral degree in electrical
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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region undergoing a vibrant technological and economic renaissance. Job Description: Advancing Completion through Engagement (ACE) is a comprehensive academic support program designed to help students in
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, computer science, or a closely related field. Coding experience for the computational modeling of physical and/or engineered systems, preferably with finite-element methods, is a must. Strong programming
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region undergoing a vibrant technological and economic renaissance. Job Description: SUNY Polytechnic Institute's Department of Electrical and Computer Engineering invites applications for a full-time