Sort by
Refine Your Search
-
interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
-
inference and large-scale data sets. - Experience working in interdisciplinary or applied research settings involving policy, planning, or external partners. PROGRAM DETAILS & BENEFITS: This is a full-time
-
with large survey data (e.g., LSST, DES, HSC, Euclid, Roman) ● Knowledge of image simulation frameworks and pixel-level analysis techniques ● Prior involvement in LSST DESC, Roman PITs, or similar large
-
will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology