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
-
Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
-
, modern C++, and Linux-based development environments. Preferred Qualifications: Experience with point cloud processing and registration using libraries such Open3D or equivalent. Experience with LiDAR
-
; survival or hazard models; gradient-boosted decision trees or related predictive approaches; interpretable feature-importance methods; Git/GitHub; Linux or command-line workflows; preregistered analyses; and
-
a Linux environment. 3) Experience in one or more programming languages such as Python, Perl, C, or Fortran. 4) Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM
-
Python, PyTorch) with solid experience in scientific computing, reproducible software development, and modern software engineering practices; familiarity with C++, Linux, and high-performance computing is
-
annotation, comparative or population genomics, command-line work in a Linux/HPC environment, and scripting in at least one of Python, R, or Bash. Hands-on molecular biology (DNA extraction, library
-
: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing
-
building highly distributable software (e.g., R packages, Python modules, Linux-based command-line tools, C programs, MATLAB applications, GitHub) The candidate will further support all laboratory activities
-
relational databases (e.g. Oracle, SQL, MySQL). Comfortable working in a Linux environment. Experience with data processing pipelines and data analysis. Excellent communication skills with a diverse team of
-
or perl) and experience working in Linux and/or high-performance cluster environments. • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be