Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
ABILITIES: * General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. * General computer skills and ability to quickly learn
-
, nonstandard methods outlined by the supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data quality control procedures
-
, progression and metastasis. The ideal candidate will be able to join our lab as soon as possible. Lab overview: The goal of our lab is to use unbiased genomic methods and in vivo models to better understand
-
we govern ourselves, and what kinds of cultures we inhabit. Position Summary: The Stanford Department of Communication is searching for a 100% time Software Developer 2 for the Journalism Program. This
-
tumors. This position offers a unique opportunity to gain experience in cutting-edge molecular, imaging, and computational technologies, with the potential for co-authorship in high-impact publications
-
, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations are offered, active involvement
-
include processing of large data sets including RNAseq. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding
-
motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and related measurement methods. Demonstrated ability to bridge research (innovative
-
for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial emulation) to examine
-
. Applicants with experience in proteomics and MS method development who are interested in applying their skills towards this challenge alongside learning more about (1) functional genomics, (2) molecular and