Sort by
Refine Your Search
-
Employer
- Harvard University
- Zintellect
- Indiana University
- City of Hope
- University of Maryland, Baltimore
- University of Michigan
- Dana-Farber Cancer Institute (DFCI)
- University of California
- University of Colorado
- Lawrence Berkeley National Laboratory
- National Center for Toxicological Research (NCTR)
- Northeastern University
- University of Kansas Medical Center
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- Boston College
- Cellular and Molecular Therapeutics Branch, NHLBI, NIH
- Center for Biologics Evaluation and Research (CBER)
- Cold Spring Harbor Laboratory
- Delaware State University
- Georgia Southern University
- Margaret M Redfield
- Marquette University
- Mayo Clinic
- Mayo Clinic, Rochester
- Missouri University of Science and Technology
- National Institute of Allergy and Infectious Diseases, NIH
- Oden Institute for Computational Engineering and Sciences
- Office of Women's Health Grant Program (OWH GP)
- Princeton University
- SUNY University at Buffalo
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- The University of Texas MD Anderson Cancer Center
- The University of Texas Southwestern Medical Center (UT Southwestern Medical Center)
- University of Texas Rio Grande Valley
- Visterra, Inc.
- Yale University
- 27 more »
- « less
-
Field
-
structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
-
support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research. Training
-
microscope, Zeiss AiryScan, SIM, and the SoRa confocal microscopes with super-resolution capabilities for live-cell imaging. Other core facilities include an atomic force microscope, bioinformatics server, and
-
vivo experiments. Desired Qualifications* Working knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset
-
experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
-
pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
-
, plant pathology, bioinformatics as well as the statistical analysis of collected data. You will also be able to improve science communication experience through the drafting and publishing of scientific
-
collections. The opening is for a postdoctoral fellow with expertise in one or more of the following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional
-
Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
-
the field. Specialized training: Support for courses and workshops that build skills relevant to the scholar’s research and career goals, including microbiome and bioinformatics analysis, scientific and grant