-
. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
-
for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
-
score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
-
thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
-
such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
-
: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
-
innovative peer-reviewed research publications Mentor Postdocs through the grant development process, including applications for F, K, or R-series awards and other career development mechanism Required
-
.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data
-
required (e.g. proficiency in R, SAS, or SPSS). Knowledge, Skills and Attitudes: Ability to analyze a data set. Ability to create and conduct data analysis plans and interaction models. Skilled in writing