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Field
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on
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this project, we will be in the ideal position to uncover mechanism of action of these disease relevant bacteria. This work will include cell culture work (cell lines and primary cells) as well as mouse models
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-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our
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position. This is a temporary position with a duration of 3 years, and with the possibility of extension for up to one year given allocated teaching obligations for undergraduate veterinary students
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companies, the D-BSSE offers a unique environment for high-impact translational research with unparalleled access to academic and industrial expertise. Project background Advancing the Frontiers of Cell-based
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top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by
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; Mentoring and coaching; Multilingualism; Multilingual policy and implementation; Teacher training and development; Pedagogy, Education policy studies; Professional learning community; Technology-enhanced
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individuals, biochemical markers, cognitive testing, animal models, and cell biology experiments. Our long-term goal is to contribute to the development of new treatments for neurodegenerative diseases, where
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challenges of learning from network traffic, (ii) train original AI models that are designed to operate precisely on such data, and (iii) demonstrate the viability in production of AI-driven solutions for, e.g
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry