Sort by
Refine Your Search
-
, United States of America [map ] Subject Areas: Biological Sciences Biostatistics Health Informatics or Bioinformatics Public Health Epidemiology (more...) Climate Science Environmental Analysis Appl Deadline: (posted 2026
-
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
-
related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
-
the timeline for project deliverables. The fellow communicates complex computational concepts to clinical stakeholders during weekly departmental reviews. A strong publication record in relevant computer science
-
in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
-
Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
-
statistical analyses and contribute to data management, quality control, and data interpretation. Lead and co-author manuscripts analyzing complex dietary, biochemical, and clinical datasets. Collaborate with
-
with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation
-
. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation
-
/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis