Sort by
Refine Your Search
-
advancing preclinical research in ultra-high dose rate radiotherapy (FLASH RT). This position offers a unique opportunity to contribute to cutting-edge research using electron beam FLASH RT in small animal
-
a postdoc with the respective research lab/center/faculty through the HAI Postdoctoral Fellowship Program (500 words max). Curriculum Vitae (CV) Short answer responses (300 max each): Description
-
and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
-
, quantitative sensory testing, ecological momentary assessment, actigraphy, and electronic mediation adherence technologies. An additional key pillar of the fellowship is to provide proficiency in handling and
-
causal inference methods to examine efficient surveillance and treatment strategies using an integrated database of electronic health records from multiple healthcare systems. Applications are invited
-
skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
-
the respective research lab through the Stanford Impact Labs postdoctoral fellowship program (500 words max). Short responses to the following three prompts, in 300 words or less for each: Please
-
max). Short responses to the following three prompts, in 300 words or less for each: Please provide a short description of your dissertation research and broader research agenda. How does your research
-
Departmental Website: https://med.stanford.edu/cancer-cell-therapy.html (link is external) How to Submit Application Materials: https://app.smartsheet.com/b/form/8c7b6371063b406b8c7642d2fe5d16f6 (link is
-
, candidates should submit all materials by April 1, 2025. Please submit your materials in this Google form (link is external) . Visa sponsorship and work authorization is possible for successful applicants