Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- University of Bergen
- DAAD
- University of Glasgow
- University of Colorado
- University of Maryland
- University of Sheffield
- Vrije Universiteit Brussel
- ; Swansea University
- AIT Austrian Institute of Technology
- AbbVie
- CWI
- Duke University
- Flinders University
- Imperial College London
- Johns Hopkins University
- KINGS COLLEGE LONDON
- Murdoch University
- Oak Ridge National Laboratory
- Oregon State University
- The University of Chicago
- Tulane University
- University of Birmingham
- University of California, Los Angeles
- University of Central Florida
- University of Luxembourg
- University of Michigan
- University of Nebraska–Lincoln
- Utrecht University
- Virginia Tech
- 20 more »
- « less
-
Field
-
), like Modelica (Dymola), GridLAB-D, or other simulation tools. Familiar with agent-based or behavioral energy system modelling to represent dynamic, non deterministic user behaviors and market
-
Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a
-
and companies interested in testing their own models and/or choosing the right combination of agents for their needs Participating to research papers and materials presenting and promoting the results
-
of the PhD topic (subproject A7- Reinforcement learning for mode choice decisions): This PhD project will develop and implement a Deep Reinforcement Learning (DRL) model for dynamic mode choice within
-
in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
-
cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
-
at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
-
engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
-
) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and
-
on these comparisons, you will create agent-based models (ABMs) that define interaction rules based on observed similarities and differences in events [4], with a focus on the specific role of individual differences