68 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Bioinformatics Fisheries Ecology Marine Biology / Underwater Acoustics Natural Resources Appl Deadline
-
: Genomics / Bioinformatics , Population Plant Pathology Plant Science microbial ecology Appl Deadline: 2026/05/02 04:59 AM (posted 2026/01/27 05:00 AM, listed until 2026/05/02 04:59 AM) Position Description
-
everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Position
-
environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple
-
Responsibilities: • Develop and implement bioinformatics pipelines for processing and analyzing data. • Integrate multi-omics datasets to identify regulatory networks and biomarkers of cancer. • Collaborate
-
Responsibilities: Develop and implement bioinformatics pipelines for processing and analyzing data. Integrate multi-omics datasets to identify regulatory networks and biomarkers of cancer. Collaborate to design
-
14853, United States of America [map ] Subject Areas: Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Medicine Epidemiology Nutrition (more...) Public Health Salary
-
Postdoctoral Associate, Computational - Yu Lab, Weill Institute for Cell and Molecular Biology hold a recent Ph.D. in computational biology, bioinformatics, computer science, or a closely related field by
-
primary focus is addressing food insecurity across New York State. Our members approach these partnerships from multiple disciplinary perspectives and methodological approaches–we apply whichever approaches
-
genetics, computational biology, biological informatics, quantitative genetics, or related fields. Strong background in plant genomics, quantitative genetics, and bioinformatics. Preferred Qualifications