Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Singapore
- Spain
- Belgium
- Denmark
- Poland
- Portugal
- Netherlands
- United Arab Emirates
- Austria
- Hong Kong
- Australia
- Worldwide
- Canada
- Czech
- Luxembourg
- Malta
- China
- India
- Ireland
- Andorra
- Japan
- Armenia
- Bulgaria
- Cyprus
- Estonia
- Europe
- Finland
- Mexico
- New Zealand
- Romania
- Slovakia
- 27 more »
- « less
-
Field
-
Scientist Salary range: See Table 37-B [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf ] for the salary range for this position. A reasonable estimate
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration and project management - Proficiency in software version control and
-
Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
-
computer science, such as Data Structures, Algorithms, Computer Architecture, Operating Systems, Databases, Computer networks, Cloud Computing, Machine Learning, Data Science, full stack Web Development. Prior
-
of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
-
as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . JOB SUMMARY The AI Engineer will be responsible for designing, developing, and implementing AI
-
, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
-
analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
-
project focuses on developing ultra-reliable spatiotemporal (4D) predictions using trustworthy, distributed AI-driven intelligence deployed across heterogeneous aerial nodes. To achieve this, an aerial
-
-spectrometer synchronization, and spectral analysis algorithms, contributing to prototype validation in geological case studies. Objectives: - Develop and validate the galvanometer scanning system.; - Implement