Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Zintellect
- Carnegie Mellon University
- Center for Drug Evaluation and Research (CDER)
- Harvard University
- University of Colorado
- Barnard College
- Northeastern University
- The Ohio State University
- University of Arkansas
- University of California
- University of Kansas Medical Center
- University of North Carolina at Chapel Hill
- Dana-Farber Cancer Institute (DFCI)
- Hanyang University
- Indiana State University
- Indiana University
- Johns Hopkins University
- Loyola University
- Nanyang Technological University
- National Center for Toxicological Research (NCTR)
- Oslo University Hospital
- Oslo University Hospital (OUS)
- SUNY University at Buffalo
- The University of Chicago
- University of California, San Diego
- University of Idaho
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Weill Cornell Medicine
- 19 more »
- « less
-
Field
-
methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
-
through their work. You should demonstrate: Interdisciplinary research expertise related to science studies and science policy Strong knowledge of quantitative research methods and their application in
-
Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
-
insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
-
scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
-
, and maintain analytical pipelines and software; Evaluate emerging bioinformatics tools, datasets, and analytical methods; Collaborate on scientific presentations, technical documentation, posters, and
-
, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making. As part of this research opportunity, you will gain
-
& Responsibilities: Design and implement methods to maximize the expression and activity of integral membrane metalloenzymes and associated proteins. Carry out activity assays using a GC-MS. Measure metal
-
methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
-
, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research