Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- France
- Germany
- Spain
- Portugal
- Canada
- Denmark
- Singapore
- Belgium
- Netherlands
- Norway
- Poland
- Australia
- United Arab Emirates
- Luxembourg
- Austria
- Ireland
- Italy
- Czech
- Romania
- Switzerland
- Finland
- Greece
- China
- Hong Kong
- Estonia
- Morocco
- Bulgaria
- Lithuania
- Brazil
- Croatia
- Cyprus
- Israel
- Japan
- Latvia
- Barbados
- Europe
- Kuwait
- Malta
- New Zealand
- Saudi Arabia
- Slovakia
- Slovenia
- Worldwide
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Biology
- Materials Science
- Science
- Education
- Mathematics
- Arts and Literature
- Law
- Social Sciences
- Psychology
- Humanities
- Chemistry
- Electrical Engineering
- Environment
- Linguistics
- Design
- Earth Sciences
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
? 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
-
) 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
-
Teaching Allocation Percentage (TAP) 50% Anticipated Start Date 11/5/2026 Position End Date (If Applicable) DUTIES Students examine current computer issues and selected topics from these, including
-
, 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
-
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
-
marketing campaigns across digital and traditional channels. Experience with CRM systems, email marketing platforms, and analytics tools is preferred. Strong understanding of brand strategy, audience
-
mechanical aptitude Knowledge of the relevant equipment, machines and tools is required to promote security and protection of people, data and property Must be able to install equipment to meet appropriate
-
complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools. Analyzes