15 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at Cornell University in United States
Sort by
Refine Your Search
-
, United States of America [map ] Subject Area: Computer Science / Artificial intelligence and machine learning Appl Deadline: 2025/11/21 04:59 AM UnitedKingdomTime (posted 2025/10/23 05:00 AM UnitedKingdomTime) Position
-
, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
-
, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
-
: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
-
veterinary technician simulation training as well as internal and external continuing education. This experience will provide the foundation necessary to: identify the learning needs of diverse audiences
-
, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
-
, job #31362: https://academicjobsonline.org/ajo/jobs/31362 1) cover letter 2) curriculum vita 3) statement proposing an individual research project (2 pp) 4) brief descriptions of two undergraduate
-
an established Teaching Mentorship framework. In addition to design studio teaching, Fellows will have the opportunity to advise thesis students and teach one to two additional courses, of which one will
-
substantive housing law in New York State; and experience supervising or mentoring students. To Apply Please submit the following to https://academicjobsonline.org/ajo/jobs/31537 . Additional information may be
-
may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral