Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- United Arab Emirates
- Canada
- Spain
- Netherlands
- Denmark
- China
- Hong Kong
- Poland
- Belgium
- Finland
- Singapore
- Switzerland
- Luxembourg
- Ireland
- Australia
- Austria
- Italy
- Morocco
- Japan
- Taiwan
- Czech
- Saudi Arabia
- Portugal
- Romania
- South Africa
- Andorra
- Brazil
- Cyprus
- Estonia
- Greece
- India
- New Zealand
- Barbados
- Europe
- Lithuania
- Mexico
- Slovenia
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Education
- Materials Science
- Earth Sciences
- Environment
- Humanities
- Physics
- Social Sciences
- Law
- Electrical Engineering
- Business
- Linguistics
- Arts and Literature
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
solid academic background in polymer synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence
-
focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
-
, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 25-Mar-26 Location: Brooklyn, NY Categories: Academic/Faculty Internal Number: 183730 POSTDOCTORAL ASSOCIATE New York
-
Torbein Kvil Gamst 26th April 2026 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning Apply for this job See advertisement
-
fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
-
Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
-
materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
-
to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the