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to develop hybrid agent-based and system dynamics models. These models will then be adapted and applied to other ComDisp case studies in the USA, Ecuador, and Turkey. The PhD candidate will be responsible
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) investigating
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robust applications. • Experience in using AI tools and frameworks, particularly for the development of agent systems based on large language models (e.g., LangChain, Hugging Face, or equivalents
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
via probability distributions. Another approach is based on the use of multi-agent reinforcement learning methods of the actor-critic type. In particular, we will seek to establish convergence
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-associated virus (AAV)-based gene therapy to promote neuroprotection, slow disease progression and promote recovery of lost function in preclinical models of ALS. We will block components of the DNA damage
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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querying of AI models to intelligent AI agents’ concepts, through agentic workflows. These are among the prime targets of the newly approved AIEXPERT project: “An agentic, multi-layer, GenAI-powered backbone
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into ionic conduction, gas permeation, and degradation in PVA-based membrane electrolytes. Investigate the impact of chemical and mechanical agents on the ionic conduction, gas permeation, and degradation
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models. However, based on our earlier findings we noted that many of the drugs do not penetrate the mycetoma grain. In this project we are therefore looking for an enthusiastic PhD candidate who will test