Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- France
- Spain
- Sweden
- Netherlands
- Austria
- Norway
- United Arab Emirates
- Portugal
- Denmark
- Belgium
- Canada
- China
- Italy
- Czech
- Switzerland
- Ireland
- Poland
- Morocco
- Finland
- Romania
- Hong Kong
- South Africa
- Cyprus
- India
- Luxembourg
- Japan
- New Zealand
- Saudi Arabia
- Taiwan
- Armenia
- Barbados
- Croatia
- Estonia
- Kyrgyzstan
- Latvia
- Lithuania
- Malta
- Slovenia
- Vietnam
- 34 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Social Sciences
- Chemistry
- Materials Science
- Environment
- Psychology
- Earth Sciences
- Philosophy
- Linguistics
- Sports and Recreation
- Design
- Electrical Engineering
- Physics
- 14 more »
- « less
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
environment to study these topics given its expertise in Machine and Deep Learning, Computer Vision, Signal Processing, and Multimedia. Also, its declared vision to work especially in presence of imperfect data
-
(PyTorch, scientific Python) with solid experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image
-
team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
-
approaches to remove atmospheric particulate (e.g., PM2.5) pollution. The math-based subgroup focuses on the use of deep learning and generative AI to address critical problems for the electric grid and broad
-
the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
-
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
-
(alexciprijanovic.com) and her research group! The successful candidate will join a multidisciplinary team working at the intersection of deep learning, cosmology, and high-energy physics, with opportunities
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 17 days ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
-
pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer