Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Nanyang Technological University
- University of Bergen
- Nature Careers
- Florida International University
- Stanford University
- University of British Columbia
- University of Oslo
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- ; King's College London
- AbbVie
- Argonne
- Carnegie Mellon University
- Duke University
- Forschungszentrum Jülich
- Genentech
- Imperial College London
- Johns Hopkins University
- Los Alamos National Laboratory
- Marquette University
- National University of Singapore
- Oak Ridge National Laboratory
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- Technical University of Denmark
- Technical University of Munich
- The Chinese University of Hong Kong
- University of Alabama at Birmingham
- University of Michigan
- University of North Carolina at Chapel Hill
- University of South-Eastern Norway
- University of Waterloo
- Uppsala University
- Vrije Universiteit Brussel
- Western Norway University of Applied Sciences
- 26 more »
- « less
-
Field
-
training algorithms and AI architecture Image reconstruction, segmentation, and classification High performance computing for spatiotemporal data Major Duties/Responsibilities: Develop foundation AI models
-
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
-
achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
-
achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
-
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
-
available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
-
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
-
. 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
-
world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
-
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