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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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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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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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endowment in excess of $3.5 billion. Job Description Postdoctoral Research Fellow Position in Multimodal Foundation Models and Biomedical AI FTE Range $65,000 - $74,665 based on experience The labs of Dr
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.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the
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logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
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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