Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- University of Bergen
- Northeastern University
- University of British Columbia
- University of Michigan
- AbbVie
- Carnegie Mellon University
- Johns Hopkins University
- Marquette University
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- University of Michigan - Ann Arbor
- University of Oslo
- University of Sydney
- University of Waterloo
- Western Norway University of Applied Sciences
- 6 more »
- « less
-
Field
-
mission standards. Core challenges: translating advanced algorithms into field deployable and operational systems managing complex technical integration across multiple consortium partners and international
-
algorithm that reliably simulates two-phase flow. The PhD projects will be part of developing and analyzing relevant numerical methods and implement them in an open-source framework that will be made openly
-
in a previous PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g
-
control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in
-
. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
-
multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
-
multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
-
researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
-
. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with