Sort by
Refine Your Search
-
experience with analysis of large health databases, such as claims or electronic health record data. Required Application Materials: Curriculum vitae Cover letter describing relevant experiences, interests
-
, to changes in the ocean soundscape and concurrent impacts on marine life. Shipwrecks are a ubiquitous, underutilized, multidimensional and multiproxy, data resource describing the many-to-many relationships
-
Required Application Materials: Cover letter CV contact information for 3 references Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race
-
, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational background
-
with GPU-accelerated computation and high-dimensional data analysis. Enthusiasm for applying AI innovations to real biological and medical challenges. Required Application Materials: Cover letter
-
Qualifications: Doctoral degree Required Application Materials: Statement of Research An updated CV with contact information for references (To be contacted at a later stage) A cover letter Applicants may be asked
-
updating of knowledge and skills. Required Application Materials: CV Cover letter outlining your research interests, career goals, and specific qualifications for the role Contact information for 3
-
independently with minimal supervision. Experience securing funding for research is preferred. Applications from underrepresented minority groups are encouraged to apply. Required Application Materials: A cover
-
. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact
-
radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally-funded team is