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Field
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SPECIFICS The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design automation
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading
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details of the research group are available at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful
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to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine
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their association with mobile genetic elements with the aim of devising a preliminary framework for risk factor analysis related to persistence of AMR, horizontal gene transfer, and dissemination between bacterial
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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their association with mobile genetic elements with the aim of devising a preliminary framework for risk factor analysis related to persistence of AMR, horizontal gene transfer, and dissemination between bacterial
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) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput
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The position is intended for a person holding a doctorate in human-machine interaction, cognitive science, cognitive psychology, or a related discipline with a strong experimental component. Experience in