Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Spain
- Portugal
- Denmark
- Canada
- Singapore
- Belgium
- Netherlands
- Norway
- Poland
- Australia
- Italy
- United Arab Emirates
- Luxembourg
- Austria
- Ireland
- Switzerland
- Czech
- Romania
- Finland
- Greece
- China
- Hong Kong
- Estonia
- Morocco
- Cyprus
- Bulgaria
- Lithuania
- Brazil
- Croatia
- Israel
- Japan
- Latvia
- Barbados
- Europe
- Kuwait
- Malta
- New Zealand
- Saudi Arabia
- Slovakia
- Slovenia
- Vietnam
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Biology
- Materials Science
- Science
- Education
- Mathematics
- Arts and Literature
- Law
- Psychology
- Social Sciences
- Humanities
- Chemistry
- Electrical Engineering
- Environment
- Linguistics
- Design
- Earth Sciences
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
on the research strengths in bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research programme to which the enclosure is linked: Methods and tools
-
Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative
-
signals of the sensory-motor system (force, kinematics, EMG, EEG etc ...) • Experience with computer communication and signal processing tools (word processing, spreadsheet, power point presentations and
-
) for the Romanian language ● programming skills in Python; knowledge of deep learning, machine learning, scikit-learn, Hugging Face, transformers, and LLMs Specific Requirements ● Collecting human-subject data using
-
of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
-
Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
-
, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
-
systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
-
insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records