Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- National Research Council Canada
- NTNU Norwegian University of Science and Technology
- Aalborg University
- CNRS
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- Technical University of Munich
- University of Antwerp
- University of Twente (UT)
- ETH Zürich
- KU LEUVEN
- The University of Newcastle
- Tilburg University
- UNIS
- University of A Coruña
- University of Amsterdam (UvA)
- University of Basel
- University of Bedfordshire
- University of Oslo
- University of Twente
- Uppsala universitet
- Utrecht University
- AALTO UNIVERSITY
- Aalborg Universitet
- Aarhus University
- Constructor Knowledge Labs gGmbH
- Czech Technical University in Prague
- DIFFER
- Durham University
- Erasmus MC (University Medical Center Rotterdam)
- Fondazione Bruno Kessler
- Hasselt University
- Heriot Watt University
- La Trobe University
- Manchester Metropolitan University
- Monash University
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Personalabteilung der Montanuniversität Leoben
- SciLifeLab
- Silesian University of Technology
- Technological University Dublin
- The University of Arizona
- The University of Chicago
- UNIVERSITY OF VIENNA
- Umeå University
- University of Copenhagen
- University of Cyprus
- University of Exeter
- University of Groningen
- University of Luxembourg
- University of Nottingham
- University of South Carolina
- University of Sussex
- University of Vienna
- University of Warwick
- Vrije Universiteit Brussel
- Łukasiewicz Research Network - Krakow Institute of Technology
- 51 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, with a focus on LSF and DGS. Rather than concentrating only on the final translation model, the PhD will address the upstream components that are essential for reliable sign-to-text translation: data
-
these fundamental challenges and contribute to the development of more reliable and effective solutions for protecting buildings against rising damp. Using a unique multiscale research approach, you will investigate
-
, the reliable prediction of fire propagation and optimization of resource deployment remains severely constrained. Five PhD students will perform research to meet FireRisk’s core objectives: - the development
-
behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability
-
components. We focus on application-oriented methods that can operate in real time and are suitable for operating decentralized systems. We aim to enable the reliable, cost-efficient, resilient, and
-
, proactive and able to work independently and reliably. Joining a new and dynamic team and working on highly topical issues Involvement in the research group's projects as well as national and international
-
software. Pre, mid, and post-training, adaptation, and evaluation of large language models and foundation models for biological, genomic, and phylogenetic tasks. Reliable, reproducible, and auditable AI
-
something has gone wrong, learn from failures and mispredictions, and recover to a stable and reliable operating state. Formal methods ensure that learning and recovery are performed with a provable quality
-
technologies such as GNSS, the research investigates how communication signals themselves can simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop
-
Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable