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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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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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The lab of Professor Alexander Gates, the Connected Data Hub, together with the School of Data Science at the University of Virginia, is looking for a Postdoctoral Research Associate in the area of
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, school social work, public health, educational policy or related discipline is required by the start date of the position. Supporting school mental health services, especially in high-need schools
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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and in vitro model systems to test novel biological mechanisms. Techniques of interest focus around high-dimensional immunophenotyping via mass cytometry and spectral flow cytometry, immunofluorescence
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techniques for pulmonary diseases such as COPD, interstitial lung disease, asthma, pulmonary hypertension, and cystic fibrosis in human and preclinical modeling, including murine models. Postdoctoral
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cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
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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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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