Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Spain
- Portugal
- France
- Singapore
- United Arab Emirates
- Norway
- Denmark
- Belgium
- China
- Switzerland
- Australia
- Austria
- Luxembourg
- Canada
- Poland
- Finland
- Hong Kong
- Italy
- Morocco
- Vietnam
- Ireland
- Romania
- Czech
- Japan
- Estonia
- Greece
- Brazil
- Saudi Arabia
- Croatia
- Lithuania
- Andorra
- India
- South Africa
- Taiwan
- Cyprus
- Malta
- New Zealand
- Slovenia
- Worldwide
- Israel
- Kenya
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Science
- Biology
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Earth Sciences
- Arts and Literature
- Chemistry
- Environment
- Social Sciences
- Humanities
- Linguistics
- Electrical Engineering
- Law
- Sports and Recreation
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
other machine learning models. Generate and evaluate hydrologic hindcasts and forecasts to assess model fidelity, forecast reliability, and predictive skill across subseasonal to annual time scales
-
fosters collaboration among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching
-
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 • Collaborate with faculty and research teams to design and deploy AI-based monitoring systems for shrimp and fish culture • Develop machine learning models for automated detection of feeding
-
the SPEAK OUT! Therapy Program. Responsibilities: As a supervisor you will be responsible for the patients your students will work with throughout the course of each semester. You will model, observe, and
-
-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
-
networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
-
research background in or research experience with one or more of the following topics: Natural language processing & language modeling Machine learning & representation learning Interpretability and
-
proposals. Responsibilities Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above. Lead and co-author manuscripts in statistical, machine learning
-
of cybersecurity. Examples areas of interest include, but aren’t limited to: ● Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) ● Systems and