Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Spain
- Portugal
- France
- Singapore
- Denmark
- Norway
- United Arab Emirates
- Belgium
- Switzerland
- China
- Australia
- Poland
- Italy
- Austria
- Finland
- Luxembourg
- Hong Kong
- Canada
- Morocco
- Vietnam
- Ireland
- Romania
- Czech
- Japan
- Estonia
- Greece
- Brazil
- Cyprus
- Croatia
- Lithuania
- Saudi Arabia
- South Africa
- Andorra
- India
- Taiwan
- New Zealand
- Slovenia
- Worldwide
- Israel
- Kenya
- Latvia
- Malta
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Earth Sciences
- Chemistry
- Arts and Literature
- Environment
- Social Sciences
- Humanities
- Linguistics
- Electrical Engineering
- Sports and Recreation
- Law
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
and Intelligibility" or "Developing and Testing AI Models of Human Cognitive Function." Candidates can read more about these core projects at https://nam.ai.princeton.edu/research. The AI Postdoctoral
-
/ThreeBodyTB.jl), cluster expansion, classical potential development, and machine learning. In addition to work on specific problems, I work on developing new first principles-based modeling approaches, including
-
and knowledge needed for most core programs at AU. Tutors model effective study habits and learning strategies, equipping student athletes with the skills and knowledge to work and succeed independently
-
language models from LLMs. Demonstrated publication record in the machine learning and AI field. Excellent programming and computer science skills. Preferred Qualification: Doctoral degree in electrical
-
development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has
-
optimisation. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model
-
fluorescence microscopy (SMLM, SIM), integrating physical-mathematical models, machine learning, and compressed sensing for accurate and efficient reconstructions. Applicants must submit a project implementing
-
Grade Level 44 Salary Range $21.06-33.69/hour Type of Position Staff Position Time Status Full-Time Required Education AS Click here for more information about equivalencies: https://hr.uky.edu/employment
-
University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
agreement. The salary range for this position is $27.83 - $59.15 ( Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
-
project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets