Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stony Brook University
- University of Washington
- University of North Carolina at Chapel Hill
- Nature Careers
- New York University
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- DePaul University
- Technical University of Denmark
- University of Maryland, Baltimore
- University of Oklahoma
- University of Texas at Arlington
- University of Utah
- Virginia Tech
- Washington University in St. Louis
- Baylor College of Medicine
- Cornell University
- Georgia Institute of Technology
- INESC ID
- Indiana University
- Institute of Hematology and Center for Hemato-Oncology Research
- Institute of Physical Chemistry, Polish Academy of Sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- North Carolina A&T State University
- SUNY Polytechnic Institute
- Universidade do Minho - ISISE
- University of Arkansas
- University of Cambridge;
- University of Illinois at Chicago
- University of Kentucky
- University of Nevada, Reno
- University of Oxford
- University of Oxford;
- Zintellect
- 24 more »
- « less
-
Field
-
inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
-
or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
-
data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and
-
requirements described will be excluded. Preferential factors: Experience in image analysis and processing using AI algorithms; English language proficiency; Portuguese language fluency. APPLICATION
-
. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
-
Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
-
from telescope data. The design of robust uncertainty quantification tools is a core component of this effort. -On the experiment design side, the group develops simulation and optimization algorithms