Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Portugal
- Singapore
- Spain
- Norway
- Italy
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Hong Kong
- Romania
- Ireland
- Canada
- China
- Austria
- Czech
- Finland
- Japan
- Worldwide
- Bulgaria
- Cyprus
- Estonia
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Brazil
- Saudi Arabia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
. With the support of machine learning algorithms and log analysis applied to traffic metadata and communication flows, it ensures system resilience for both legal and regulatory compliance as
-
. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
-
, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
-
to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
-
Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
-
Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
-
language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
-
sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
-
media and internet infrastructure computing cultures and materialities as heritage values and economies in algorithmic/data cultures social and cultural perspectives on dismantling communication networks
-
guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem