Animal Sciences

Build an interpretable model that links dog breed allele frequencies to disease risk and practice real genetic data analysis.

Measure how low oxygen changes cricket jump angle, speed, and consistency, and build real skills in motion tracking and data analysis.

Build a phone-based workflow to count rat appearances in sidewalk clips, compare detection rules, and learn video annotation and stats.

Compare bat and whale coding sequences to test how echolocation genes evolved, and learn dN/dS analysis on public data using open datasets.

Study how squirrels hide food, test pilferage avoidance, and turn backyard camera clips into measurable behavior data with simple analysis.

Use NOAA stock data to build a time-series model that predicts fish stock collapse risk and practice real-world forecasting.

Build a phylogenetic map of local insects with DNA barcodes, then test how habitat, sample source, or sequence quality changes diversity patterns.

Use body-mass data and phylogenetic models to test when island vertebrates get smaller or larger across vertebrate groups after colonizing islands.

Build a machine learning project that reconstructs missing animal GPS points and measures how well diffusion models recover movement paths.

Test how dissolved oxygen changes Hydra regeneration speed while you build a clear time-lapse method for tracking tissue regrowth.