Sort by
Refine Your Search
-
, statistical analysis, literature review, and preparation of scientific manuscripts and reports, along with logistical coordination and equipment management. Together, these efforts advance understanding
-
of the relevant fields. Preferred skills: Previous experience in computational ecology and statistics. R or Python. Statistical analysis tools such as NIMBLE, JAGS or STAN. Familiarity with data processing, quality
-
, including data preprocessing, feature engineering, and preparation of datasets for robust model training and validation. Experience with computational and statistical analysis in Python and R. Familiarity
-
. Conducting descriptive and inferential statistical analyses. Contributing to publications in peer-reviewed scientific journals. Where will I be located? This opportunity is 100% remote. What is the anticipated
-
Statistics (11 ) Physics (16 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application, to offer, through your appointment and even
-
with agricultural research groups. Excellent communication and interpersonal skills, writing skills, and statistical skills. Strong statistical skills with R, SAS, or other statistical programs. Stipend
-
/statistical skills Experience with statistical analysis software (e.g. R, SAS), GIS software (e.g., ArcGIS, QGis), and programming languages (e.g., R, Python, C++). Experience or interest in science integration
-
necessary to become credentialed as a Principal Investigator Applying a broad range of statistical and machine learning methods to human performance data collected in real-world settings Developing
-
. Conducting descriptive and inferential statistical analyses. Contributing to publications in peer-reviewed scientific journals. Where will I be located? This opportunity is 100% remote. What is the anticipated
-
bioinformatics tools, pipelines, and statistical methods for the analysis of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments