24 machine-learning-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in United States
Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Nature Careers
- Binghamton University
- Simons Foundation/Flatiron Institute
- NSF-Simons Foundation-funded National AI Institute for the Sky
- Rutgers University
- City University of New York
- Cold Spring Harbor Laboratory
- Hampton University
- Rensselaer Polytechnic Institute
- Rochester Institute of Technology
- Stanford University
- 1 more »
- « less
-
Field
-
Simons Foundation/Flatiron Institute, Center for Computational Biology Position ID: 3497-FRFDD [#27269] Position Title: Position Location: New York, New York 10010, United States of America Appl
-
NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 3 months ago
NSF-Simons Foundation-funded National AI Institute for the Sky Position ID: SkAIInstitute-PDASSOCSKAI [#30861] Position Title: Position Type: Postdoctoral Position Location: Chicago, Illinois 60611
-
NSF-Simons Foundation-funded National AI Institute for the Sky Prize ID: SkAIInstitute-PDFELLOWSKAI [#30859] Prize Title: SkAI Prize Postdoctoral Fellowships Prize Type: Postdoctoral Location
-
to this search are candidates with expertise ranging from NeuroAI, machine learning, and artificial intelligence to brain-body interactions, including cancer neuro and neurodegenerative disorders, and systems and
-
applications for a Tenure Track (TT) position in the area of physics, with a specialization in the development and implementation of techniques of Artificial Intelligence (AI) and Machine Learning (ML) across
-
starting on, or after, 7/01/2026. The position is to be offered jointly with the Center for Computational Astrophysics (CCA) at the Simons Foundation Flatiron Institute in New York City. The successful
-
and computational methodologies, including those pertaining to data science, scientific machine learning, and optimization. Of special interest are candidates whose work could support RPI's initiatives
-
). Of particular interest to this search are candidates with expertise ranging from NeuroAI, machine learning, and artificial intelligence to brain-body interactions, including cancer neuro and neurodegenerative
-
theoretical foundations of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record of research and teaching and
-
mathematics, with particular interest in candidates whose research advances the mathematical foundations of artificial intelligence, machine learning, and quantum information and computation. Successful