Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Pennsylvania State University
- University of Utah
- The University of Chicago
- Carnegie Mellon University
- Duke University
- Harvard University
- University of Texas at El Paso
- Nature Careers
- University of North Carolina at Chapel Hill
- Auburn University
- CUNY School of Medicine
- East Carolina University
- Purdue University
- The University of Arizona
- The University of Iowa
- University of Alaska
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- University of Nebraska–Lincoln
- University of New Mexico
- University of North Texas at Dallas
- University of Texas at Dallas
- 12 more »
- « less
-
Field
-
SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security
-
methodologies in collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying naturalistic behavior
-
. Collect, manage, and analyze data Record experimental procedures and observations. Conduct routine statistical analyses as needed (e.g., summary statistics, t-tests/ANOVA) and generate plots, tables, and
-
CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
-
. Qualifications Basic Qualifications: College background in psychology, social/political science, communications, economics, computer science, data science, statistics, or related field. Additional Qualifications
-
advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
-
Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
-
research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in
-
Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning