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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
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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responsibilities include: Generation of phenotype-specific networks from bulk-RNAseq and scRNAseq data from rare disease patients Building executable models (Boolean, ODE, agent-based or others) from omics data
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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agents and treatment combinations in cancer models. Manage and maintain mouse xenograft models (including PDX and cell-line derived models). Perform drug administration, tumor measurement, sample
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orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference, optimisation Demonstrated ability to use
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15th August 2025 Languages English English Norsk Nynorsk English PhD Research Fellowship on Literature and Generative AI Apply for this job See advertisement UiB - Knowledge that shapes society
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PhD Research Fellowship on Literature and Generative AI Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization Identifying optimal multi-use portfolio considering battery degradation