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lead projects integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and
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communications systems. Develop novel theoretical frameworks, algorithms, and signal processing techniques for sensing and wireless communications. Publish research findings in leading journals and conference
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to find new therapeutic candidates. This is a joint position shared between the MGI (https://genome.wustl.edu/), and the Mitra (http://genetics.wustl.edu/rmlab/) and Milbrandt labs (https
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that integrate rodent pain models, mouse genetics, circuit-level approaches, molecular and cellular assays, high-resolution imaging, behavioral phenotyping, and quantitative data analysis. This role will also
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national guidelines for disease specialties including hematology
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algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct human studies of the algorithms and techniques in
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and Engineering (http://www.cse.uta.edu ) in the College of Engineering at The University of Texas at Arlington, invites applications for an open-rank Academic Professional Track (non-tenure) faculty
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical