Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- University of Pittsburgh
- Carnegie Mellon University
- Duke University
- Harvard University
- New York University
- Rutgers University
- University of Minnesota
- University of Pennsylvania
- University of Utah
- Brookhaven National Laboratory
- Emory University
- National Renewable Energy Laboratory NREL
- Nature Careers
- Rice University
- University of Alabama at Birmingham
- University of Massachusetts Medical School
- University of Nebraska–Lincoln
- University of Oregon
- University of Texas at El Paso
- Virginia Tech
- Yeshiva University
- 12 more »
- « less
-
Field
-
collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data. Contribute
-
uses observational field data, experimental data, and field experiments. Salary is $68,000 annually, plus benefits. Expected start date is mid-June 2026. Visa sponsorship is available. For examples
-
, survey design, and experimental techniques Ability to collect, organize, and manage large datasets efficiently while maintaining data integrity and confidentiality Excellent written and verbal
-
data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
-
a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups. Position Information Proposed Faculty Rank
-
, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
-
have a strong quantitative background in aging, disability and health systems research including experience analyzing complex datasets such as Medicare/Medicaid claims data. The ideal candidate will have
-
machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
-
alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
-
organizing the large bank of human aneurysm and artery specimens, interfacing with the collaborating clinical sites on the proper handling and transport of the specimens from the clinic to the Pitt laboratory