Machine Learning Algorithm Researcher (Scientific Computing) - Data

1. Join a scientific computing research team with diverse backgrounds, use tools such as machine learning, computational chemistry, and high-throughput computing to solve challenging problems in natural sciences such as biology, physics, and materials, and use new technical paradigms to create breakthroughs 2. Track the latest research progress in various scientific fields, and work with the team to establish in-depth and extensive technical knowledge in the field 3. Integrate computational tools and research paradigms from different fields to develop new methods that can solve practical problems.

1. Machine Learning, Computer Science, Computational Chemistry, Computational Biology, Computational Materials, Mathematics, Physics, CADD/AIDD and other related majors 2. Good communication and teamwork skills, active willingness to learn and serious and responsible work attitude 3. Proficient in at least one programming language (Python/C/C++), with a solid programming foundation, good programming style and work habits 4. Solid Machine Learning theoretical foundation and practical experience, familiar with commonly used machine learning models and paradigms, and familiar with the latest developments in the field 5. Candidates with top machine learning conference articles, top results in machine learning competitions such as Kaggle, or practical experience in industrial projects are preferred.