Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- DAAD
- Leiden University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Newcastle University
- CNRS
- Delft University of Technology (TU Delft); today published
- Edinburgh Napier University;
- Eindhoven University of Technology (TU/e)
- ICN2
- King's College London
- Linköpings universitet
- The University of Manchester
- University of East Anglia
- University of Exeter;
- University of Luxembourg
- Abertay University
- CWI
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centro de Biotecnología y Genómica de Plantas, CBGP (UPM-INIA)
- Centrum Wiskunde en Informatica (CWI); today published
- City St George’s, University of London
- Cranfield University
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- Dublin City University
- Duke University
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- FUNDACIÓN PARA LA INVESTIGACIÓN MÉDICA APLICADA
- Finnadvance
- Forschungszentrum Jülich
- Hannover Medical School •
- Institut Català de Nanociència i Nanotecnologia
- KNAW
- KU LEUVEN
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- La Trobe University
- Leiden University; today published
- Linköping University
- Luxembourg Institute of Science and Technology
- Manchester Metropolitan University;
- Max Planck Institute for Sustainable Materials •
- Mälardalen University
- Mälardalens universitet
- NHH Norwegian School of Economics
- Swansea University
- Swansea University;
- Swinburne University of Technology
- Technical University of Denmark
- The University of Edinburgh;
- The University of Iowa
- The University of Manchester;
- Umeå University
- Umeå universitet
- University of A Coruña
- University of Amsterdam (UvA); Published yesterday
- University of Applied Sciences Northwestern Switzerland
- University of Basel
- University of Birmingham;
- University of Exeter
- University of Groningen
- University of Liège
- University of Oxford
- Utrecht University; Published today
- Utrecht University; today published
- Wageningen University and Research Center
- 61 more »
- « less
-
Field
-
computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation
-
, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
-
models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving
-
-behavioral biases are most critical in facilitating climate risks to become systemic. This data collection and analysis work will benefit from the computational agent-based and macroeconomic modeling (carried
-
., Clauss, M., Doughty, C.E., 2021. Improved estimation of gut passage time considerably affects trait-based dispersal models. Functional Ecology 35, 860–869. *Baker, G. et al, submitted. Novel isotopic
-
early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
-
marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
-
volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
-
research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR
-
) and an agent-based reinforcement learning system can developed to identify and optimise safe journeys to reach affected forest plantations. The specific research objectives will be co-developed with