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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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to store, analyze, and manipulate spatio-temporal data. Preferred Qualifications: Knowledge of infrastructure systems, including energy, transportation, water, and telecommunications, and their interactions
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developing large language models. Experience in DNA and protein AI/ML models and multimodal datasets. Knowledge in different deep learning architectures, tokenization and embedding methods. Experience in
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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD