-
, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
-
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, multidisciplinary
-
Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning frameworks, Natural Language Processing, etc. Proficient programming skills in Python and R and working knowledge in SQL Strong
-
.) and proficiency in data analysis software (such as R, Mplus, SPSS). Extensive experience interpreting research data and summarizing findings via written reports and oral presentations. Strong record
-
expertise in molecular and cell biology are encouraged to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work
-
and prior DNA repair experience will be prioritized. Basic to advanced experience with R and/or Python. Excellent oral and written communication skills and be able to work effectively with collaborating
-
(e.g., R, Stata, Python). • Excellent written and verbal communication skills. • Demonstrated ability to work independently and as part of a team. Preferred (but not Required): Experience conducting
-
. Successful applicants should have a Ph.D. degree in Epidemiology (or biostatistics or related field). Strong programming skill in R is required, and experience in SQL or other databases would be welcome
-
statistical programming. Strong programming skills in R are required. Required Application Materials: A cover letter, CV, a short description of research interests, and contact information of three referees
-
R, Python, or similar. Excellent communication and collaboration skills. Preferred Experience: Demonstrated experience in radiobiology and stem cell biology. Proven track record of publications in