Sort by
Refine Your Search
-
Employer
- Zintellect
- Harvard University
- Indiana University
- University of Michigan
- University of Texas at Austin
- City of Hope
- University of Maryland, Baltimore
- University of California
- Dana-Farber Cancer Institute (DFCI)
- University of Arkansas
- University of Idaho
- Barnard College
- Center for Devices and Radiological Health (CDRH)
- University of Michigan - Ann Arbor
- Center for Drug Evaluation and Research (CDER)
- Florida Atlantic University
- Lawrence Berkeley National Laboratory
- University of Colorado
- University of North Carolina at Charlotte
- University of Notre Dame
- University of Washington
- Villanova University
- George Mason University
- Johns Hopkins University
- Loyola University
- Marquette University
- Mayo Clinic
- Northeastern University
- Oden Institute for Computational Engineering and Sciences
- Saint Louis University
- Sejong University
- St Jude Children's Research Hospital
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of South Carolina
- Virginia Tech
- Visterra, Inc.
- Washington University in St. Louis
- Wayne State University
- Yale University
- 32 more »
- « less
-
Field
-
and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
-
, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes
-
Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
-
experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large
-
related field. Strong background in solid mechanics, materials physics, and crystallography. Experience developing tools using Python, C/C++, MATLAB, etc. Demonstrated ability to conduct independent
-
sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
-
, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
-
with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
-
Experience with population genetics or statistical genetics Familiarity with Bayesian methods, probabilistic modeling, or graphical models Experience with scientific computing in Python, JAX, Torch, Julia, C
-
to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others