Wissenschaftliche*r Mitarbeiter*in - Statistik und Data Science 26/Sa31
Core
Research and teaching assistant in statistics and data science focusing on statistical methods in infection epidemiology, ecology, and geosciences, with a goal of completing a PhD.
Role type
Research and teaching assistant (PhD track)
Builds
Scientific publications and statistical service courses
Domain
Academic research in statistics, data science, epidemiology, ecology, and geosciences
Deliverable
research
Required skills
Statistical forecasting, linear and generalized linear models, time series modeling, recurrent neural networks, conformal prediction, reproducible statistical workflows, R programming
Preferred skills
Research and teaching experience, English language skills, Quarto, git, targets
Responsibilities
Participate in teaching and research tasks, conduct statistical analyses and methodological development, write scientific publications, take on tasks in academic self-administration
Seniority
Junior, PhD candidate
