Sort by
Refine Your Search
-
Listed
-
Employer
- Rutgers University
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- Argonne
- Nature Careers
- Texas A&M University
- Duke University
- Pennsylvania State University
- Princeton University
- Stony Brook University
- Baylor College of Medicine
- Boise State University
- Brookhaven National Laboratory
- Carnegie Mellon University
- Episteme
- Los Alamos National Laboratory
- National Aeronautics and Space Administration (NASA)
- Purdue University
- Stanford University
- University of California Berkeley
- University of California, Merced
- University of Florida
- University of Miami
- University of Minnesota
- University of Oregon
- University of Texas at Arlington
- University of Texas at Dallas
- Zintellect
- 18 more »
- « less
-
Field
-
on circular economy research Experience in working in the genetic algorithm and artificial neural networks is preferred. Experience in manufacturing process modeling of advanced manufacturing technologies
-
dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and
-
Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
-
descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
-
Predictive Model of Adolescent Mental Health (Duke-PMA), a neural network-based tool designed to identify youth at high risk for psychiatric illness using low-cost, accessible clinical and behavioral measures
-
, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (Transformers). A broad
-
funded by the Simons Foundation that aims to uncover how opportunities for action ("affordances") shape neural representations, perception, and behavior. Why this position? You will sit at the center of a
-
• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc