-
applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
-
, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
-
at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
-
performance. Mentorship Structure The postdoc will collaborate closely with the lab’s principal investigator Ellen Vitercik, PhD students, postdocs, and external collaborators on multiple research projects
-
Application Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay
-
Department of Dermatology provides a robust research environment with a strong community of scientific colleagues and students for collaboration. Required Qualifications: A PhD in one of the following
-
committed team — we want to hear from you. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets; familiarity with
-
findings to both scientific and non-scientific audiences. Contribute to writing research papers and grant proposals. Train and mentor students and research assistants as needed. Required Qualifications: PhD
-
transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
-
blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant