Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Adelaide University
- Blekinge Institute of Technology
- Curtin University
- DIFFER
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- Instituto de Engenharia Mecânica
- KU LEUVEN
- Luleå tekniska universitet
- Luxembourg Institute of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technological University Dublin
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Birmingham
- University of Copenhagen
- University of Crete
- University of Göttingen •
- University of Texas Rio Grande Valley
- 10 more »
- « less
-
Field
-
fusion with cellular or endosomal membranes, has led to major advances in this field, culminating in the development of mRNA vaccines against COVID-19. The objective of this PhD thesis is to develop a
-
the biological mechanisms that drive tumour initiation and subsequent growth holds significant promise for improving patient outcomes. This PhD project explores the novel concept that cell fusion between two
-
The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
-
laser beams, in the context of future laser fa-cilities for inertial fusion. It will be carried out within the theory group TIPS (Theory, Plas-ma Interpretation & Simulation), in close collaboration with
-
CNRS Earth & Universe institutes). The laboratory is recognised for its research activities in the following areas: • Plasma physics and fusion, particularly via magnetic confinement, in close
-
position within a Research Infrastructure? No Offer Description In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally
-
: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
-
£26,805 per year, and includes the PANDA DFA training programme as part of the 2026 Cohort (https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will
-
robotics using Artificial Intelligence (AI) and advanced sensor fusion techniques. The research will investigate how UWB measurements can be combined with data from onboard sensors such as inertial
-
, or characterizing synthetic and manipulated visual content. Study representations learned by large pretrained visual or multimodal encoders, including probing, adaptation, fusion, and efficient fine-tuning strategies