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analysis of data, including functional brain imaging results, cognitive psychology and symptom ratings on patient and healthy populations to better understand the symptoms of psychosis. The data collection
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and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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neuroimaging, focusing on quality assurance or image processing. Familiarity with neuroimaging modalities and neuroimaging software (e.g., MINC tools, FSL, FreeSurfer, SPM). Strong understanding of neuroimaging
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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synergy with another postdoc working on the same project, whose focus is on the development, demonstration and application of the functionalized quartz resonators integrated into a sensor prototype. If
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, uncovering novel cellular mechanisms. We employ state-of-the-art techniques in fly neurogenetics, proteomics, molecular biology, RNA biology, multi-omics, and quantitative imaging to investigate circadian
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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for a candidate highly skilled in virology, stem cell culture, molecular biology and biochemistry. Prior experience working with confocal imaging, flow cytometry and CL3 containment lab is highly
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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