Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- University of Michigan
- Harvard University
- AbbVie
- Indiana University
- University of Michigan - Ann Arbor
- University of Maryland, Baltimore
- University of Cincinnati
- University of Kansas Medical Center
- University of North Carolina at Chapel Hill
- University of Texas at Austin
- City of Hope
- Cold Spring Harbor Laboratory
- Emory University
- Florida International University
- Genentech
- Marquette University
- Medical College of Wisconsin
- Northeastern University
- Princeton University
- Saint Louis University
- The University of Alabama
- The University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- Vanderbilt University
- 15 more »
- « less
-
Field
-
, ethical research standards, and applicable federal and state regulations ELIGIBILITY REQUIREMENTS Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are
-
components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
-
for acquiring data and sharing information related to the research project. PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with
-
-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
-
Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
-
Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
-
data and adjust recommend approaches to experimental design and analysis. Actively review new publications and adapt emerging methods and approaches to existing projects PhD degree in bioinformatics
-
involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including cross-species analytics, analyses of lncRNA
-
patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
-
of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and