Sort by
Refine Your Search
-
for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Lead a NIH funded project
-
analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting
-
more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here
-
work in scientific conferences. The scientists are expected to work with students and technicians including assay development, problem solving, data analysis, interpreting results, and planning follow-up
-
specializes in neuroengineering, organs-on-chips technology, and animal models. The Research Assistant hired into this role will work closely with post-doctoral fellows and graduate students on various exciting
-
. The scientists are expected to work with students and technicians including assay development, problem solving, data analysis, interpreting results, and planning follow-up experiments. Outstanding UA benefits
-
to cutting-edge research in design automation, manufacturability analysis, and data-driven approaches for additive and conventional manufacturing processes. Outstanding UA benefits include health, dental
-
motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi. We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research
-
related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
-
computational data analysis, bioinformatics or AI/ML is a plus. Demonstration of problem-solving skills and capability to overcome complex issues. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked