Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
-
strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
-
focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
-
, across all of Stanford's seven schools -- while also supporting and learning from each other in cross-project endeavors. We maintain and steadily improve an advanced research computing facility, and we
-
transcriptomics analysis • Interest in cancer biology and immunology principles • Excellent written and verbal communication skills Preferred Qualifications: • Experience with machine learning approaches
-
. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master programs. Ability to work under deadlines with general
-
familiarity with AFNI are strongly preferred. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer
-
to remove barriers to learning. Inclusion and diversity are integral to Stanford's commitment to excellence. We are interested in candidates who have demonstrated experience engaging with diversity through
-
students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one of the founding departments at Stanford. The department is
-
scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The