Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Linköping University
- NTNU Norwegian University of Science and Technology
- Vrije Universiteit Amsterdam (VU)
- Aalborg University
- Technical University of Munich
- University of Bologna
- Uppsala universitet
- Abertay University
- Centre for Synthesis & Chemical Biology, University College Dublin
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- ETH Zürich
- Faculty of Science, Charles University
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- Fundació Privada I2CAT
- Hannover Medical School •
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences
- Instituto de Tecnología Química
- International PhD Programme (IPP) Mainz
- Iquadrat Informatica SL
- King's College London
- Max Planck Institute for Sustainable Materials •
- Murdoch University
- Nantes Université
- Nature Careers
- Sorbonne Université, CNRS, Inserm
- Technical University Of Denmark
- The University of Manchester
- UNIVERSITY OF VIENNA
- Umeå universitet
- University College Dublin
- University of Aveiro
- University of Cambridge;
- University of East Anglia
- University of Galway
- University of Graz
- University of Ljubljana
- University of Nottingham
- University of Southern Denmark
- University of Twente (UT)
- University of Vienna
- Wageningen University & Research
- cellumation GmbH
- 34 more »
- « less
-
Field
-
The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
-
the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
-
for Artificial Intelligence) project, where newly admitted PhD students will research and develop large language models and agentic interfaces for multilingual knowledge management, using high-quality
-
-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
-
curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
-
and their topological impact on zeolite pores Mechanistic understanding of why defect-containing zeolite samples can outperform defect-free analogues Development of an AI-driven agent for automated
-
curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
-
on complex CO₂ transformations—with applied research aimed at developing more sustainable and circular fermentation processes. We will seek to adapt boron- and silane-based reducing agents, as
-
and decision support (e.g., LLMs, retrieval-augmented generation, agentic systems) Building production-quality prototypes suitable for pilot deployment in judicial settings, including robust retrieval
-
application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent