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-Vietnam collaboration, funded by the Research Council of Norway (RCN). The successful candidate will use public health data from Vietnam to develop hybrid agent-based and system dynamics models
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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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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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-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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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 defects of smectic
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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
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moving from iterative prompting and querying of AI models to intelligent AI agents’ concepts, through agentic workflows. These are among the prime targets of the newly approved AIEXPERT project
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. Furthermore, integration into operational workflows requires moving from iterative prompting and querying of AI models to intelligent AI agents’ concepts, through agentic workflows. These are among the prime
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. Modelling the development of language in artificial agents with sensory apparatus that are embedded in a physical environment is an exciting research methodology that promises both deeper understanding
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. They work together to enhance our understanding of intelligence, cognition in autonomous agents, and teams of agents in the context of mediatised worlds. The insights are then transferred into a new