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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
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, Behavioral Economics, Human-Bot interaction, Experimental Research, Game Theory, and Artificial Intelligence. Some of the research topics that excite us as a group include: (i) Ethics of AI and Automation; (ii
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for use in modelling and analysis. Running model simulations (training will be provided). Analysing simulation outputs and presenting results through data visualization. Qualifications We are looking for a
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and domestic persons and entities. Illinois Tech uses software called Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with
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, cell types, and developmental stages, and how synaptic interactions may contribute to tumor progression. Ongoing projects include developing next-generation subcellular proteomic tools to map synaptic
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% Research: Prepare and perform experiments using cells and purified proteins. Visualize cells and interactions of purified proteins using confocal microscopy and total internal reflectance microscopy. Purify
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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for use in modelling and analysis. Running model simulations (training will be provided). Analysing simulation outputs and presenting results through data visualization. Qualifications We are looking for a
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changeYears of Research Experience1 - 4 Additional Information Eligibility criteria Strong background in atmospheric science, ocean–atmosphere interactions, or environmental modeling. • Knowledge of numerical