Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- Queen Mary University of London
- University of Washington
- Baylor College of Medicine
- EPFL
- St Jude Children's Research Hospital
- Texas A&M University
- UNIVERSITY OF HELSINKI
- University of California
- University of Miami
- Yale University
- Argonne
- Duke University
- Forschungszentrum Jülich
- Istituto Italiano di Tecnologia
- McGill University
- National Institutes of Health (NIH)
- Northeastern University
- Princeton University
- Queen Mary University of London;
- Rutgers University
- SUNY University at Buffalo
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- UNIVERSITY OF VIENNA
- University of California Irvine
- University of California, Los Angeles
- University of California, Merced
- University of Florida
- University of Liverpool
- University of Massachusetts Chan Medical School
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of New Orleans
- University of Oxford
- University of Oxford;
- University of Sydney
- Vanderbilt University
- Washington State University
- 31 more »
- « less
-
Field
-
are both essential. Experience working in a high-performance Linux cluster computing environment is also desirable. Applications must be submitted online and should include a cover letter and a curriculum
-
. Preferred Experience in genomic data analysis, computational biology, statistical genetics, or functional genomics. Proficiency in R, Python, Linux/Unix, and high-performance computing environments
-
-environment association analyses, and expertise using and trouble-shooting bioinformatic tools, as well as experience using Unix or Linux environments is required. The postdoctoral scholar will be expected
-
University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
one of: Python, R, C/C++, or Perl; proficient with Unix/Linux. •Experience with deep learning, statistical modeling, or AI applications to biological data. •Familiarity with transcriptomic technologies
-
variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
-
related field Experience with genome assembly and/or large genomic datasets Strong computational skills (Unix/Linux, scripting in R/Python) Publication record in peer-reviewed journals Other Position
-
, post-GWAS analyses, and genetic imputation. Experience conducting analyses in the R statistical package. Programming experience on a Unix or Linux platform. Experience in conducting statistical genetic
-
experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
-
candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
-
of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms