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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
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of Applied Psychology. Current faculty conduct research on a wide range of topics pertaining to the future of work, including entrepreneurship, collaboration, remote working, labor markets, algorithms, machine
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
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package Molly.jl on both CPU and GPU, as well as addressing relevant computational and algorithmic questions. This project is part of the Blue Sky Collaboration between the LMB and AstraZeneca, and will
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activity, trends, key platform/algorithm changes, influencers, and identify emerging trends. * Works cross-functionally and ensures collaboration across teams in the Strategic Marketing and Communications
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· developong new genetic algorithms related to finite element (FE) modeling · presentation of results and their disseminatio The successful candidates must be enrolled in PhD School program
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales