Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stony Brook University
- Cornell University
- Nature Careers
- University of North Carolina at Chapel Hill
- Duke University
- University of Maryland, Baltimore
- University of Washington
- Aarhus University
- NEW YORK UNIVERSITY ABU DHABI
- SUNY Polytechnic Institute
- University of Texas at Dallas
- CNRS
- Fred Hutchinson Cancer Center
- Georgia Institute of Technology
- Institute of Hematology and Center for Hemato-Oncology Research
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- Universidade do Algarve
- University of Miami
- University of Nevada, Reno
- University of Texas at Arlington
- University of Utah
- 16 more »
- « less
-
Field
-
project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
-
routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
-
project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
-
, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
-
networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
-
grid planning. Design and code efficient algorithms for large-scale optimization problems using the Julia programming language and packages such as JuMP.jl. Experience with Xpress and Gurobi are a plus
-
predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
-
algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists
-
, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
-
testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs