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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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– immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis
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are expected, including documentation of method, presentation of data, and participation in interpretation of results. Lead and participate in collaborative projects and contribute to data processing, software
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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, radiology, pathology, biostatistics, health services research, and health informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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with stakeholders. QUALIFICATIONS Doctoral degree in Computer Science, Electrical/Computer Engineering, or a closely related field. Foundation in network security for 5G/6G and O-RAN, including TLS 1.2
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medicine in depression. Especially sought are candidates with expertise in functional magnetic resonance imaging (fMRI), with a particular interest in using brain circuit biotypes to guide personalized
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Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep learning computer vision models to classify mosquito breeding habitat on very high-resolution
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in advanced ultrasound methods for both cardiovascular imaging