A 10-minute research presentation followed by a long Q&A (approx. 45-60 mins total). The panel consisted of three scientists with heavy Statistics and Chemical Engineering backgrounds. The vibe is more "Applied Data Science" than "Computational Physics."
Pros:
- Respectful environment; they give you ample time to finish your presentation before asking questions.
- Interesting look into how traditional giants are adopting RAG and LLMs for internal documentation.
Cons:
- Heavy emphasis on specific domain fit (e.g., Polymers). If your PhD is in Inorganic/Crystals, the gap might be a dealbreaker regardless of ML skill.