Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Aalborg University
- Leibniz
- University of Twente
- Inria, the French national research institute for the digital sciences
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- CNRS
- Delft University of Technology (TU Delft)
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Technical University of Munich
- Umeå University
- University of Luxembourg
- Vrije Universiteit Brussel (VUB)
- Centrale Supelec
- Constructor University Bremen gGmbH
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Empa
- Fundació per a la Universitat Oberta de Catalunya
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- KU LEUVEN
- LEM3
- Leipzig University •
- Linköping University
- Molde University College
- Monash University
- Newcastle University
- Queensland University of Technology
- SciLifeLab
- Stockholms universitet
- Swedish University of Agricultural Sciences
- The University of Chicago
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of Birmingham;
- University of Exeter
- University of Greenwich
- University of Liège
- University of Nottingham
- University of Southern Denmark
- University of Twente (UT)
- University of Vienna
- University of Warwick
- Universität Wien
- Université Toulouse Capitole
- Utrecht University
- Vrije Universiteit Brussel
- Wageningen University & Research
- cnrs
- 40 more »
- « less
-
Field
-
learning models that integrate: Air pollution, weather, noise, green space, urban form; Socioeconomic and demographic data; Hospital admissions and mortality records; Develop physics-guided and graph-based
-
of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
the Fugger lab at the Oxford Centre of Neuroinflammation , focusing on the development of drugs that tame common brain diseases through the application of graph-based neural networks, deep learning, and
-
-person surveys in selected hard-to-reach communities across Australia apply advanced statistical network modelling techniques (e.g. Exponential Random Graph Models) to explore how specific network
-
Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
-
programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. In particular, you will be part of the Causality team under the supervision
-
. The current research topics include disorder effects on phase transitions (diluted ferromagnets, long-range correlated defects, spin glasses, random graphs and networks), long-range interacting systems
-
be developing advanced spatial models such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem
-
science and industry. With the Open Research Knowledge Graph (ORKG ), we are working to revolutionise the exchange and use of scientific knowledge in the digital age. The Technische Informationsbibliothek
-
ability to work both independently and collaboratively are essential. A solid background in combinatorics, especially graph theory, together with basic knowledge of probability theory, are required