Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- Monash University
- University of Glasgow
- University of New South Wales
- Zintellect
- CNRS
- Indiana University
- Inria, the French national research institute for the digital sciences
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- University of Sheffield
- University of Utah
- 3IA Côte d'Azur
- Aalborg University
- Argonne
- Boston University
- California Institute of Technology
- Center for Devices and Radiological Health (CDRH)
- Center for Drug Evaluation and Research (CDER)
- EPFL
- European Space Agency
- IIASA
- INAF-Osservatorio Astronomico di Trieste
- Imperial College London
- Institut Pasteur
- Institut national de l'information géographique et forestière IGN
- Instituto Superior Técnico
- King Abdullah University of Science and Technology
- NTNU - Norwegian 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
- Universidad Complutense de Madrid
- University of Alabama at Birmingham
- University of Birmingham
- University of Michigan
- University of Nottingham
- University of Texas at El Paso
- University of Turku
- 31 more »
- « less
-
Field
-
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
-
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
-
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
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-driven and physics-informed learning techniques Development of simulation-based optimization methodologies, including Bayesian optimization, derivative-free optimization, multi-objective optimization
-
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
-
data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
-
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
-
Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
-
findings and results Contribute to generating funding Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own