Sort by
Refine Your Search
-
culture of scientific rigor, reproducibility, research integrity, and continuous learning. Maintain accurate research records and ensure compliance with applicable institutional and regulatory requirements
-
connect people or ideas that are not usually brought together? Finally, add something about your interests, motivations, or working style that we would not learn from your CV. Career development statement
-
, longitudinal follow-up, biospecimen and clinical data collection, EHR-based cohort development, physiologic data integration, machine learning analysis, and manuscript and grant development. Minimum Requirements
-
acquire new technical expertise as needed. Participate in clinical research efforts involving retrieval, processing, and molecular analysis of patient-derived specimens from prospective clinical trials
-
environment. Must be able to manage multiple and rapidly changing priorities and learn new skills. Must be detail-oriented and well-organized and the ability to work in a team environment. Excellent verbal and
-
and deliverables. Learn background/research methods of studies for which analysis is conducted with limited direction and supervision. Statistical analysis and database management. Conduct systematic
-
Position Description The Signal Inference, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with
-
manuscripts for publication in peer-reviewed journals. Prepare presentations for research conferences and prepare data for grant submission. Learn how to write fellowship grants. Train new personnel in the lab
-
), 2) Immunology (flow cytometry) 3) Molecular biology techniques. The ideal candidate should be motivated, innovative, with strong problem-solving and interpersonal skills and excitement to learn new
-
for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell