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About This Wildlife Graduate Assistantship Analytics Dashboard
Purpose & Scope

This dashboard provides comprehensive analytics for wildlife and fisheries graduate assistantship opportunities scraped from the Texas A&M Wildlife and Fisheries job board (jobs.rwfm.tamu.edu). The system automatically identifies and analyzes genuine graduate assistantships, fellowships, and PhD/Masters positions while filtering out internships, technician roles, and professional positions.

Data Updates & Automation
  • Weekly Scraping: Automated data collection every Sunday at 6:00 AM UTC via GitHub Actions
  • Real-time Processing: Advanced classification algorithms analyze job descriptions, requirements, and project details
  • Historical Tracking: Time-series data maintained for trend analysis and seasonal pattern detection
  • Dashboard Deployment: Automatic updates to GitHub Pages within minutes of new data collection
Analytics Features
  • Smart Classification: AI-powered detection of true graduate assistantships (90%+ accuracy)
  • Discipline Analysis: Automatic categorization into Wildlife Management, Fisheries, Environmental Science, etc.
  • Geographic Distribution: Regional analysis with cost-of-living adjusted salary comparisons
  • Big 10 University Filter: Toggle to focus on positions at major research institutions
  • Trend Analysis: Monthly posting patterns, seasonal variations, and market insights
Important Disclaimers

Use at Your Own Discretion: This dashboard is provided for informational and research purposes only.

No Guarantees: While we strive for accuracy, we cannot guarantee the completeness or correctness of job postings or classifications.

Third-Party Data: Information is sourced from external job boards and may contain errors or outdated listings.

Not Career Advice: This tool should supplement, not replace, your own research and application strategies.

For Researchers & Students

Academic Use: Ideal for understanding market trends, geographic patterns, and funding landscapes.

Comparative Analysis: Compare opportunities across disciplines, regions, and institution types.

Strategic Planning: Use trend data to time applications and identify emerging opportunities.

Open Source & Methodology

This project is open source and available on GitHub.

Classification algorithms and data processing methods are transparent and reproducible.

Contributions and improvements welcome from the research community.

Verified Graduate Assistantship Analysis

Last 6 months • Last updated: Never • 0 total positions

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Graduate Assistantships

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Average Stipend

Lincoln, NE adjusted

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Leading Discipline

0% of positions

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Regions Active

Top: Unknown
Discipline Market Analysis
Geographic Distribution Analysis
Regional Insights
Cost of Living Impact
Market Insights
Top Organizations
Data Export & Research Tools
Analytics Report

Comprehensive PDF report with all insights

Raw Data

CSV export for statistical analysis

API Data

JSON format for developers