Sort by
Refine Your Search
-
Country
-
Employer
- University of Vienna
- University of Oxford
- HHMI
- Virginia Tech
- Cornell University
- Earlham Institute
- Francis Crick Institute
- Montana State University
- Rutgers University
- University of Oxford;
- University of Washington
- Bangor University;
- Deutsches Elektronen-Synchrotron DESY
- Harvard University
- Loyola University
- Massachusetts Institute of Technology (MIT)
- Singapore-MIT Alliance for Research and Technology
- The Francis Crick Institute;
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of Pittsburgh - Center for the Neural Basis of Cognition / Bioengineering
- Yale University
- 12 more »
- « less
-
Field
-
integration Strong programming skills, preferably in Python, for data analysis, simulation, and instrument control Proven ability to work independently on a complex technical project, from conceptual design to
-
programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
-
: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
-
programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
-
communication science, in particular text and/or image analysis and platform data Interest in topics related to political communication Knowledge of Python and/or R Strong quantitative analysis skills Teaching
-
analysis approaches) with human participants, and preferably also in psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a
-
closely related quantitative discipline. • Strong programming skills with demonstrated proficiency in R and/or Python for large-scale data analysis. • Experience analysing large-scale
-
the group. Develop, optimise and maintain bioinformatic workflows using Python and related tools. Work independently with existing transcriptomic analysis pipelines and contribute to the development of new
-
a PhD in biology, bioinformatics or a related discipline and have extensive experience in computational biology or mathematical modelling. You will have strong programming skills in R and Python
-
one scripting language (Python and/or R) for data processing, statistical analysis, and visualisation. Candidates should have experience of working with high-performance computing (HPC) environments and