Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Indiana University
- University of Michigan
- Zintellect
- Nature Careers
- Johns Hopkins University
- University of Maryland, Baltimore
- City of Hope
- University of Texas at Austin
- University of Michigan - Ann Arbor
- Center for Drug Evaluation and Research (CDER)
- University of California
- Auburn University
- Brandeis University
- Center for Devices and Radiological Health (CDRH)
- Florida Atlantic University
- The University of Alabama
- University of Idaho
- Villanova University
- AbbVie
- Amgen
- Barnard College
- Carnegie Mellon University
- Dana-Farber Cancer Institute
- George Mason University
- Lawrence Berkeley National Laboratory
- Marquette University
- Northeastern University
- Saint Louis University
- Texas Christian University
- The University of Memphis
- University of California, San Francisco
- University of Colorado
- University of Rhode Island
- University of South Carolina
- Wayne State University
- 26 more »
- « less
-
Field
-
optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis. • Experience with COMSOL Multiphysics and/or Lumerical
-
computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with Python · Experience with
-
conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
-
environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
-
with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications
-
, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
-
proficiency in R and/or Python for statistical modeling and large-scale data analysis; experience developing reproducible computational workflows is preferred Experience with Linux-based environments and large
-
• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: asmaa.elkenawi@cancerimmunometabolism.com Website: https
-
with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
-
for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring