Sort by
Refine Your Search
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF HELSINKI
- Center for Drug Evaluation and Research (CDER)
- Harvard University
- Hong Kong Polytechnic University
- Institut de Recherche pour le Développement (IRD)
- King Abdullah University of Science and Technology
- Northeastern University
- SUNY University at Buffalo
- Simons Collaboration on the Physics of Learning and Neural Computation
- UCL;
- University of British Columbia
- Zintellect
- 4 more »
- « less
-
Field
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow – Human Neuroimmunology, Brain Organoids and Multi-omics Department MS Research Network | Department of Medicine
-
Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 23 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
-
apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
-
world models with generative AI and theory-informed neural networks. Job Responsibilities: Conducting theoretical and empirical studies on economic world models, with a strong emphasis on critical finance
-
research on machine cognition, focusing on how language model agents and related artificial neural network systems represent beliefs and goals. The project will investigate whether such systems represent
-
, etc. Duties The appointees will assist the project leader in the research project - “Deep neural networks for precision mental health”. They will be required to: (a) develop AI and geometric deep
-
Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks
-
Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and