Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford's
-
with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
-
of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and
-
; maintain detailed records of experiments and outcomes. * Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding
-
of the selected candidate, budget availability, and internal equity. Pay Range: $80,000-95,000 The Alsentzer Lab at Stanford is seeking a postdoctoral fellow to advance trustworthy, deployable AI methods
-
to developing computational methods to better understand individual differences in brain functioning in healthy and patient populations. For more information about the lab, please visit http://bdl.stanford.edu
-
postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
-
. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
-
different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
-
. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn basic statistical methods. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific