Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Australia
- Singapore
- Germany
- France
- Austria
- Netherlands
- Belgium
- Spain
- Norway
- Sweden
- Portugal
- Denmark
- 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
- Latvia
- Slovenia
- Andorra
- Armenia
- Barbados
- Brazil
- Bulgaria
- 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
-
Macomb Community College teaching Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online
-
are the lead technicians for all events that occur at The O'Shaughnessy. While each employee may be assigned to a specific specialized area of the production department, general knowledge and deep skills in all
-
the development, evaluation, and practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Teaching of courses
-
, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
-
: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra
-
-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
-
to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
-
, multimodal foundation models, continuous learning systems, or agentic AI models. Experience with state-of-the-art multimodal foundation models and agentic AI frameworks Experience in large-scale deep learning
-
Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 13 days ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
-
of, or willingness to learn, the complexities of the University environment, including the differing governance and risk considerations for research and enterprise data. Foundational knowledge of cyber security