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  3. Stanford RNA 3D Folding Part 2
KaggleComputer VisionResearchRegistration closed

Stanford RNA 3D Folding Part 2

A research computer vision competition requiring roughly 40–120 hours for an end-to-end practice run.

Difficulty
Research
Estimated effort
40–120 hours
Registration deadline
Mar 18, 2026
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Researchers and advanced practitioners working in general machine learning. Requires specialized domain knowledge and significant technical depth.

Read the original official blurb
Solve RNA structure prediction, one of biology's remaining grand challenges

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
Jan 7, 2026

Entry assessment

est.
11

Prepare before joining

Overall fit estimate

Beginner fit11/100
Learning value72/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jan 7, 2026
Registration deadline
Mar 18, 2026
Submission deadline
Mar 25, 2026
Competition ends
Mar 25, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Jan 7, 2026
Source created
Oct 24, 2025
Published on this site
Jul 18, 2026