Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $86,100 Aligning Machine Learning
-
have experience in the main areas of application - functional or single cell genomics and/or statistical genetics -- as well as strong experience in modern computational statistics and machine learning
-
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
-
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
-
. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
-
, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one
-
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
-
into the future. Strong candidates will be expected to have > 5 years of experience in these areas. Significant Data Science/Advanced Computational Modeling/Machine Learning/Big Data Analytics Experience and
-
, or machine learning experts to create predictive virtual 3D mammalian embryos for human health, especially congenital heart diseases. We welcome applicants with expertise in genomics, developmental biology
-
understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying