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
-
, using Hubble Space Telescope (HST) images as input into radiative transfer models. The ultimate objective is to calculate an improved estimate of the Bond albedo of Uranus, with well characterized
-
/instruction tuning methods. * Understanding of Reinforcement Learning (RL) principles, multi-objective optimization, or active learning/Bayesian optimization. * Strong programming capabilities in Python
-
-world challenges affecting agricultural producers, wildlife populations, and natural resources. Learning Objectives: As part of this learning experience, you may gain experience in: Developing and
-
manuscripts, conference presentations, and other dissemination of project findings. 10% – Project Management Work directly with the PIs to ensure efficient progress toward project objectives. Coordinate
-
for inclusion in regulatory review workflows. Learning Objectives: By the end of this appointment, you will have developed the skillsets to: Articulate the regulatory framework governing the use of surrogate
-
integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
-
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 3 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
-
on Bayesian small area estimation (SAE) methods that borrow statistical strength across space and time when local data are insufficient. Building on the Fay-Herriot model and its spatiotemporal extensions
-
integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
-
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