computational biology / bioinformatics genomics / molecular biology physics / astrophysics / signal processing climate / environmental modeling healthcare / medical imaging

📋 Description

Propose and frame original, research-grade ML problems rooted in your domain
Design evaluation tasks requiring domain-specific knowledge beyond standard pipelines
Assess AI-generated solutions for correctness, creativity, and methodological rigor
Document problem difficulty, required domain knowledge, and expected failure modes

🎯 Requirements

Graduate-level expertise (MS or PhD preferred) in a field that intersects with ML
Strong knowledge of ML methods: model selection, feature engineering, evaluation metrics
Deep familiarity with active research problems in your field
Excellent written communication; articulate complex problems clearly
Self-motivated and able to work independently on demanding tasks

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