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Scientific Computing Specialist
2 months ago
Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee to explore the intersection of artificial intelligence and computational chemistry. As a key member of our team, you will develop and implement large language models to streamline complex workflows, making them more efficient and accessible.
Key Responsibilities:
- Apply large language models to optimize scientific workflows, enhancing user experience and productivity.
- Collaborate with interdisciplinary teams to develop innovative solutions using AI in computational chemistry and materials science.
- Conduct research and contribute to publications, presentations, and reports, promoting the integration of AI in scientific domains.
- Work with high-performance computing environments and tools to implement and evaluate large language models.
Requirements:
- Ph.D. in Physics, Chemistry, Materials Science, or a closely related field, completed within the last 0-5 years.
- Strong programming skills in Python or other relevant languages used in scientific computing.
- Experience with machine learning techniques, including training, validating, and implementing models.
- Understanding of quantum chemistry methods and experience in applications of these methods.
- Ability to conduct independent research and demonstrated publication record in peer-reviewed journals.
Desired Skills:
- Experience with large language models and their applications in scientific domains.
- Knowledge of workflow tools and automation techniques to enhance efficiency in complex computational tasks.
- Experience in developing and using machine learning potentials for molecular dynamics simulations.
About Argonne National Laboratory:
Argonne National Laboratory is a leading research center dedicated to accelerating scientific discoveries and engineering breakthroughs. Our team is committed to pushing the boundaries of what is possible in computational chemistry and materials science.
