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, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination. Write up
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for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive
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experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews. Applicants must have an undergraduate degree in computer science, have significant
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comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support
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prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot