Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- France
- Austria
- Netherlands
- Belgium
- Spain
- Norway
- Sweden
- Denmark
- Portugal
- United Arab Emirates
- Canada
- China
- Italy
- Luxembourg
- Switzerland
- India
- Czech
- Ireland
- Poland
- Finland
- Hong Kong
- New Zealand
- Cyprus
- Japan
- Lithuania
- Morocco
- Romania
- Saudi Arabia
- South Africa
- Bulgaria
- Latvia
- Slovenia
- Andorra
- Armenia
- Barbados
- Brazil
- Croatia
- Estonia
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Taiwan
- Worldwide
- 39 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Science
- Engineering
- Business
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Humanities
- Social Sciences
- Environment
- Chemistry
- Linguistics
- Sports and Recreation
- Earth Sciences
- Psychology
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
-
-South-Main-Street/Research-Assistant_REQ207057 Job Description: Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students
-
) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed of new literature related
-
Skills :Programming, Research Knowledge :IA, Deep Learning, Python Where to apply Website https://rubis.univ-spn.fr/offres/voir/206 Requirements Specific Requirements Be a graduate of an Engineering
-
(Part Time) Posting Number req25576 Department School of Plant Sciences-Res Department Website Link https://spls.arizona.edu/ Location Tucson Campus Address 1657 E. Helen St., Tucson, AZ 85719 USA
-
systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would
-
the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
-
multimodal generative AI for music/audio. Check out some of our recent projects here: https://dorienherremans.com/biblio (including work on models like Mustango, SonicMaster and other generative systems
-
also should have deep experience in graduate-level teaching and student advising, with an ability to foster supportive learning environments for students. The Department of Health Systems, Management and
-
, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object