Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Austria
- Germany
- France
- Australia
- Netherlands
- Norway
- Belgium
- Denmark
- Singapore
- Sweden
- Luxembourg
- China
- Czech
- India
- Portugal
- Spain
- Switzerland
- United Arab Emirates
- Poland
- Canada
- Ireland
- Hong Kong
- Italy
- Lithuania
- Morocco
- New Zealand
- South Africa
- Andorra
- Armenia
- Barbados
- Bulgaria
- Croatia
- Cyprus
- Estonia
- Europe
- Finland
- Kyrgyzstan
- Latvia
- Romania
- Slovenia
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Business
- Chemistry
- Environment
- Humanities
- Linguistics
- Education
- Arts and Literature
- Law
- Earth Sciences
- Social Sciences
- Philosophy
- Materials Science
- Psychology
- Electrical Engineering
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
Experience with MATLAB/Simulink, including Control System Toolbox, System Identification Toolbox, or Deep Learning Toolbox. Understanding of battery systems, electrochemical energy storage, or battery
-
, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
-
) and define the problem mathematically. Secondly, a central component of the PhD will be to learn mappings between heterogeneous spaces through latent-variable models and representation learning. Some
-
atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
-
E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
-
the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
-
for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
-
deep learning. You will support the development of an improved forest RTM that can exploit LiDAR full-waveform data along with hyperspectral signatures. You will plan and carry out field campaigns in
-
the competent authority of the Ministry of Higher Education, Research and Innovation (MESR). "Video content security in a deep learning coding architecture" Over the past few decades, numerous video compression
-
challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing