88 high-performance-quantum-computing "https:" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
-
members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://gendersexualityfeminist.duke.edu/ 919-684-3770 Gender, Sexuality and Feminist
-
statistical software (R, SAS, etc). Demonstrated ability to conduct research and publish in peer-reviewed journals. Excellent written and communication skills. Duties and Responsibilities Perform advanced
-
. Occupational Summary The David Lab at Duke University (www.ladlab.org ) is recruiting a postdoctoral fellow to join an established research group developing and applying DNA sequencing and computational
-
, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
-
regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
-
international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
-
Predictive Model of Adolescent Mental Health (Duke-PMA), a neural network-based tool designed to identify youth at high risk for psychiatric illness using low-cost, accessible clinical and behavioral measures
-
proof of degree equivalency. · Animal handling experience · Prior experience with lung inflation, lung histology and immunohistochemistry. · Experience with R and with scRNA sequencing. · Perform
-
/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis