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pharmacoepidemiology and healthcare analytics experience (Medicaid, Medicare, commercial, and EHR populations). Proficiency in R, Python, and SQL. City: New Brunswick State: NJ Location: Rutgers University - New
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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experience with advanced methods of theoretical chemistry. Knowledge of and practical experience working in an HPC environment. Knowledge of programming in Python. Experience in processing 4D-STEM datasets
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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and convex optimization. Prior experience in software development in machine learning systems is highly desirable. Proficient in Python and ML frameworks such as PyTorch. Independent, highly analytical
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++, Python, MPI, OpenMP, CUDA, OpenACC, etc.). • Excellent analytical, problem solving and decision-making skills • Creative and innovative individual with clear initiatives to improve lab operation • Flexible
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C++, Python, and Linux systems to join the Future Mobility Solutions research program. The successful candidate will work on the development, testing, and fine-tuning of self-driving vehicles, ranging
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research and other computational biology projects. Evaluates existing approaches and modifies methods as needed to address specific research questions and data requirements. Uses R, Python, and other
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developing quantitative evaluation methodologies or performance metrics. Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Experience with optimization algorithms
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related AI/ML structure-prediction approaches. Experience with Python, BASH, and high-performance computing systems. Experience with data science and working with large experimental and computational