Cellular and Molecular Biology

Build a machine learning workflow to pick a six-marker flow panel and test how well it separates exhausted and memory CD8 T cells.

Design and score a probiotic biosensor circuit, then test how RBS strength changes gene expression predictions and circuit behavior.

Track yeast budding under glucose starvation, then model cell-cycle transitions with a Markov chain and compare your data to GEO datasets.

Use TCGA and circBase data to compare circular RNA patterns in colorectal cancer, build a classifier, and rank stable biomarkers.

Test whether binaural beats change EEG gamma and theta ratios during memory tasks, then analyze the signal with MNE-Python and statistics.

Compare stress-granule formation in yeast and plants, then fit phase-separation models to live-imaging data and build real analysis skills.