Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- Monash University
- University of New South Wales
- Zintellect
- University of Glasgow
- Center for Drug Evaluation and Research (CDER)
- Indiana University
- Inria, the French national research institute for the digital sciences
- University of Sheffield
- University of Utah
- 3IA Côte d'Azur
- Abertay University
- Argonne
- Boston University
- CNRS
- California Institute of Technology
- Center for Devices and Radiological Health (CDRH)
- Constructor Knowledge Labs gGmbH
- EPFL
- European Space Agency
- IIASA
- INAF-Osservatorio Astronomico di Trieste
- Imperial College London
- Institut Pasteur
- Instituto Superior Técnico
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- King Abdullah University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- North Carolina State University
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Technical University of Munich
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Alabama at Birmingham
- University of Birmingham
- University of Toronto
- University of Turku
- 27 more »
- « less
-
Field
-
truthtfulness. Moreover, the training and theory of LLMs has no notion of epistemic uncertainty. Recently AI researchers pushing world models address this problem and one alteBeinrnative is training objectives
-
FDA Research Opportunity - Assessment of Bayesian Statistical Methods Applied in Regulatory Contexts
Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 22 hours agoconsumer confidence in devices marketed in the U.S. Research Project: You will be a part of the following activities: Landscape Analysis: Survey Bayesian designs used in CDRH device approvals to identify
-
, modify and extend. The project will explore a range of AI predictive and generative methods, such as large language and vision models (LLMs/VLMs), inverse procedural modelling, Bayesian optimisation, world
-
these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
-
learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working across the School
-
data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal
-
Gaussian processes with learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working
-
, characterization, optimization, and autonomous decision-making. Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems
-
are prohibitively slow for practical semiconductor metrology and inspection applications. Unlike most samples placed under a microscope, microchips are manufactured objects that follow strict design rules
-
interpret analytical methods and findings, and manage day-to-day project activities, deliverables and timelines to ensure successful delivery of the programme’s objectives. We are looking for an experienced