20 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Virginia
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will collaborate with faculty, research staff, and students. Depending on candidate interest, topics of study may include: Prompts as a data primitive and related methods Foundation model adoption and
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normal and cancer cells, and mouse models. Research in the Trinh lab centers on protein- and RNA- mediated gene regulation via modulating chromatin architecture in development of immune cells, particularly
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in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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Research Associate position, with the possibility of extension for up to two years based on an annual basis dependent upon satisfactory performance and the availability of funding. The candidate will be
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with mice work is ideal. Responsibilities include: Full-time research or scholarship at the University. Preparatory for a full-time academic or research career. Supervised by a senior scholar, and allows
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research using complex observational healthcare data, with a focus on cancer studies. The successful candidate will be expected to: Modeling multilevel survival data while addressing confounding and missing
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of national research infrastructures Evaluating the evolution of Generative AI performance over time and across tasks Analyzing international AI models and their representations of the U.S. in global discourse
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molecular mechanisms of carcinogenesis from a developmental perspective using Neurofibromatosis Type 1 (NF1), a common tumor predisposition human genetic disorder, as a model. While working on
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the intervention may not be implemented as intended Feedback and Improvement: Provide feedback to facilitators based on fidelity data Suggest improvements to enhance fidelity and address any deviations from