Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Aalborg University
- Inria, the French national research institute for the digital sciences
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- CNRS
- Linköping University
- NTNU Norwegian University of Science and Technology
- University of Luxembourg
- University of Southern Denmark
- ADELAIDE UNIVERSITY
- Brunel University
- Dublin City University
- ETH Zürich
- Fundació Privada I2CAT
- Grenoble INP - Institute of Engineering
- Helmholtz-Zentrum Umweltforschung
- KU LEUVEN
- Leibniz
- Monash University
- Murdoch University
- Northeastern University London
- Purdue University
- Reykjavik University
- Science me Up
- Technical University Of Denmark
- Technical University of Denmark
- UNIVERSITY OF VIENNA
- University Medical Center Utrecht (UMC Utrecht)
- University of Basel
- University of Bergen
- University of Birmingham
- University of Nottingham
- University of Oslo
- University of Oxford
- University of Strathclyde
- University of Surrey;
- University of Twente
- University of Vienna
- Université Toulouse Capitole
- Uppsala universitet
- 30 more »
- « less
-
Field
-
(darren.p.fayne@dcu.ie ) with a CV and cover letter, neither generated by an LLM. This is an important cut-off criteria. You will be joining my Molecular Design Group (MDG https://dcu-mdg.github.io/index.html
-
that LLM agent populations spontaneously develop shared social conventions through naming-game interactions, we will test whether convention formation dynamics on group topologies mirror those observed
-
, causal tracing) to characterise how the geometry of representations in open-weight VLMs and LLMs shapes compositional success and failure; (ii) contributing to the RUNES neuroimaging programme by applying
-
of the following is desirable but not required: federated learning, differential privacy, adversarial robustness, distributed systems, or LLM fine-tuning. How to apply Applications should be submitted via
-
data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
-
. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
-
area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 23 days ago
for a specific organization using LLMs. More importantly, it will identify the key points required in such a project and the advantages and drawback of such a project as compared for example to a
-
(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
-
, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence, especially large language models (LLMs), enable the development