Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- CNRS
- Newcastle University
- Uppsala universitet
- Centrale Supelec
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fraunhofer-Gesellschaft
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- INRIA
- Institut de Recherche pour le Développement (IRD)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Ludwig-Maximilians-Universität München •
- SciLifeLab
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- Technical University of Munich
- University of Bologna
- Université de Caen Normandie
- 8 more »
- « less
-
Field
-
oxide materials for solid‑state batteries and SOFCs, leveraging combinatorial synthesis and high‑throughput structural and electrochemical characterization to explore vast and unexplored compositional
-
the adoption of lightweight, low-carbon structural systems, ensuring these buildings remain habitable under everyday use becomes a critical resilience challenge. Current vibration serviceability criteria
-
microstructural descriptors that are physically meaningful and predictive. Probabilistic surrogate modelling and digital twin construction. The extracted microstructural descriptors will be used to learn a
-
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
-
“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
-
Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
-
., 2020). The upper trophic levels (marine mammals and birds) are accurately represented through a co-construction approach based on consultations with experts. A monospecific approach is adopted for marine
-
) relationship with the low-fidelity response. Extensions include nonlinear information fusion with GPs, Bayesian multi-fidelity inference and deep probabilistic surrogates, as well as MF neural networks
-
Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
-
Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 8 days ago
, institutional, and conservation factors such as MPAs have shaped them. Examining how climate risks interact with structural factors to create nutritional vulnerabilities. Identifying strategies for building