-
associate will design and implement experiments, collect and analyze data, and summarize the study as presentations andmanuscripts. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate
-
Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
-
trial design and conduct, and scientific writing. Qualification: PhD in nutrition, epidemiology, biostatistics or related field. Strong quantitative and analytical skills, including experience with
-
immunohistochemistry. Some expertise in single-cell RNA sequencing is also preferable. Requirements: · Holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide
-
self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
-
to hold a PhD in a humanistic field at the time of appointment. Candidates submitting materials by January 15, 2026 will receive full consideration. Candidates should submit a cover letter, a curriculum
-
Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
-
. 33:169). Our lab applies high resolution live imaging techniques combined with biophysical approaches, genetics, gene discovery and computational tools. The successful applicant will lead a research
-
multiple affiliations. Be You. The Department of Pharmacology & Cancer Biology seeks a Postdoctoral Associate to join Dr. David MacAlpine's research laboratory. Minimum Requirements: - PhD in Molecular
-
. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related discipline awarded before August 1st, 2026. Applicants with experience in mathematical modeling