-
and DNA bar coding technology strongly preferred. Required Qualifications: PhD in immunology, molecular biology, or a related field. Required Application Materials: Please send a letter describing your
-
experience in coding will also be considered. The successful candidate should have a good publication record, be experienced in computational biology, and have good scientific writing and oral
-
). Strong coding skills in R, Python, or similar languages. Excellent communication skills in English Required Application Materials: Cover Letter CV Two letters of recommendation, with contact information
-
modeling, or real-time data analysis. Familiarity with data visualization, reproducible research workflows, version control, and collaborative coding practices. Interest in translating computational methods
-
analysis code, during the recruitment process. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual
-
experience with large database analyses and QA/QC. Advanced experience with coding Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff
-
track. Required Qualifications: Doctoral degree with quantitative training or quantitative research experience. Training and experience in causal inference. Strong coding skills in R, Stata, or other
-
Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
-
sequencing data, evidenced by first-author publications, preprints or a public code record. Strong programming ability in Python and/or R, fluency at the Unix command line, and competence with version control
-
experience with latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex