Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Norway
- Germany
- Canada
- Spain
- Hong Kong
- Netherlands
- United Arab Emirates
- Denmark
- China
- Finland
- Morocco
- Austria
- Belgium
- Poland
- Singapore
- Ireland
- Australia
- Luxembourg
- Switzerland
- Italy
- Saudi Arabia
- Taiwan
- Japan
- New Zealand
- Brazil
- Cyprus
- Estonia
- India
- Romania
- Slovenia
- Andorra
- Barbados
- Czech
- Europe
- Iceland
- Lithuania
- Mexico
- Portugal
- Qatar
- Slovakia
- South Africa
- Vietnam
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Education
- Humanities
- Earth Sciences
- Materials Science
- Physics
- Environment
- Linguistics
- Social Sciences
- Law
- Business
- Arts and Literature
- Electrical Engineering
- Philosophy
- Statistics
- Sports and Recreation
- 14 more »
- « less
-
, and experience) Benefits: https://www.umaryland.edu/hrs/benefits/ For more information regarding benefits for postdoctoral fellows, please visit the UMB Benefits Summary . Job Summary: Fellows
-
experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
-
genomics, machine learning for biological data, or computational analysis of high-throughput sequencing datasets. · Demonstrated record of peer-reviewed research publications, including first-author
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
chemistry and machine learning approaches to investigate innovative catalytic systems, with a focus on biomass-related areas Optimization of homogeneous and heterogeneous catalytic processes using high
-
to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute
-
what they do. Join us and be a part of the diverse Caltech community. Job Summary We seek a Research Scientist with expertise at the interface of machine learning, data science, and the chemical sciences
-
issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
-
applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine