Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- California State University, San Bernardino
- Argonne
- Duke University
- University of Texas at Austin
- North Carolina State University
- State University of New York University at Albany
- The University of Chicago
- University of Maryland
- University of Texas at El Paso
- Cornell University
- Heidelberg University
- New York University
- Oak Ridge National Laboratory
- Purdue University
- Texas A&M TVMDL
- University of California, Berkeley
- University of Cincinnati
- University of Kansas
- University of Maryland, Baltimore
- University of Michigan
- University of Minnesota
- University of Nebraska–Lincoln
- University of Pennsylvania
- University of Virginia
- 14 more »
- « less
-
Field
-
methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
-
develop new modeling methods and new models; they will apply those models to simulate neural responses and design new therapies. The applicant will also gain exposure to other projects in the lab, spanning
-
. Conduct quantitative and qualitative research studies to advance education scholarship and evaluate the effectiveness of educational interventions using rigorous methods. Publish first and co-authored
-
disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
-
on research projects. Purpose In this role, the Biostatistician will collaborate closely with a PhD-level statistician and senior research leaders to co-develop a new statistical consulting service
-
where the faculty is TBA. The cover letter header must include: Name Program (M.Arch, MUD, Arch PhD, etc.) Expected date of graduation (MM/YYYY) Umich email address Student ID # Position(s) to which you
-
preparation, including writing methods sections, refining figures, and performing statistical analyses Piloting new techniques and assays before implementation in broader lab projects Monitoring relevant
-
. Qualifications Minimum Education and Experience PhD (or relevant terminal degree), or a relevant Master’s degree with at least 5 years of formal post-degree professional work experience Other Required
-
tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
-
that enable evidence-based decision-making in public and private sectors. The Interdisciplinary Sustainability Decision Support Researcher will be critical to the implementation of mixed-methods approaches