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Required/Minimum Qualifications:
· Research experience in deep learning, demonstrated for example through research in a related PhD program and/or publications in ML conferences or scientific journals.
· Hands-on experience with Python and a modern deep learning framework.
Other Requirements:
Ability to physically work from Microsoft Research Cambridge (UK) for the duration of the internship.
Preferred/Additional Qualifications:
Published work in the broader field of AI for Science.
· Practical experience with handling molecular data and geometric deep learning.
· Good engineering skills, including familiarity with Git, code reviews, and testing/CI.
· Familiarity with graph algorithms and data structures.
· Effective communication skills, especially scientific writing.
· Desire to tackle real-world problems, and contribute to projects with scope larger than a typical academic publication.
· Chemistry knowledge is a plus, but not required.
· Write research code to test new approaches or develop novel insights for machine learning in the natural sciences, particularly retrosynthesis and drug discovery.
· Communicate research findings to an interdisciplinary research team.
· Prepare technical papers, presentations, and open-source releases of research code.
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