Sort by
Refine Your Search
-
part of an interdisciplinary research team dedicated to advancing management science, the fellows will develop novel quantitative methods at the interface of statistical learning, experimental design
-
related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
-
interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
-
—on projects that bridge methods, policy, and practice. This role will involve designing and executing empirical studies of pharmaceutical competition, pricing, and regulation. The fellow will apply advanced
-
of Massachusetts would be a plus but not required. Attention to detail and professionalism are highly important for the role. Experience with participant recruitment and retention methods. CITI certified and trained
-
faculty and researchers in the Economics Department will be a critical component of the fellow’s professional development. The fellow may begin their appointment prior to defending their dissertation
-
(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
-
with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
-
learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
-
, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with