22 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Virginia
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
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on the potential survival of consciousness after death. Today, our broad mission is the scientific investigation of phenomena that challenge currently accepted models of the nature of mind and consciousness
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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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offices within UVA and vis-à-vis external stakeholders. Support the program’s Director, Robin R. Means Coleman, PhD Co-mentor undergraduate and graduate students Other administrative tasks as needed
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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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from the NIDDK and focuses on investigating the role that T1D risk variants play in islet autoimmunity through advanced single-cell techniques. The lab seeks an independent, highly motivated PhD-level
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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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presentations, and perform additional standard biological experiments as needed. This position is offered as a 12-month appointment, with the possibility of renewal based on satisfactory performance and the