Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- DAAD
- Umeå University
- Leibniz
- SciLifeLab
- Technical University of Munich
- University of Luxembourg
- Vrije Universiteit Brussel
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- ; University of Warwick
- Cranfield University
- Forschungszentrum Jülich
- Leipzig University •
- Molde University College
- Monash University
- RMIT University
- Universiteit van Amsterdam
- University of Adelaide
- University of Antwerp
- University of Delaware
- University of Southern Denmark
- VIB
- WIAS Berlin
- 17 more »
- « less
-
Field
-
use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
-
known as kernelization) for a wide range of NP-hard graph problems. Please state your entry requirements plus any necessary or desired background A first class or an upper second class British Bachelors
-
one-fits-all model was proven unsuccessful. Large Language Models (LLMs) and knowledge graph models are expected to harmonize the formats and semantics but there are many open questions about their
-
to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
-
to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains
-
biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
-
). Maintenance of transgenic mouse colony and embryonic fetal analysis 3). Train students and post-docs in hematopoietic research techniques 4). Prepare figures. Make charts, tables, and graphs from numeric and
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
-
algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
-
generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and