Sort by
Refine Your Search
-
Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
-
related to the microbiome/metabolome. Superb quantitative background, strong coding skills (e.g., Python, R, MATLAB). Strong computer skills, experience with databases and scientific applications, and
-
therapies. Discovering tumor-stromal, tumor-immune, and tumor-ECM programs that drive therapeutic resistance, cancer progression, and metastasis. Developing and applying computational/AI-enabled spatial omics
-
. Proficiency in scientific programming (e.g., R or Python) and scripting in research environments is required. Substantial experience with SPM and connectivity toolboxes is highly desirable. Required Application
-
control at the ER. This position offers substantial opportunities for scientific independence and creativity. The successful candidate will help shape the direction of the project, develop and apply
-
(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000–$95,000 Postdoc in the modeling of laboratory workflows to program self
-
data analysis, machine learning and computer vision. The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts
-
to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental
-
analysis and dissemination. We are looking for candidates pursuing a clinical science-oriented career who excel at both the provision of cognitive behavioral psychotherapy and at research. The fellow will be
-
, and data science. We are especially focused on understanding the interplay between genetics, lifestyle, environment, and clinical factors on cardiovascular disease risk. Our work incorporates biobanks