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Field
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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
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Foundation Models, to the sPHENIX experiment Perform physics analysis using sPHENIX data Collaborate with physicists and computer scientists on publishing research findings Required Knowledge, Skills, and
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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) for downstream mass spectrometry analysis. o 2-photon imaging of cerebrovasculature in vivo to study vascular dynamics during neuroinfectious events. o Investigate the underlying mechanisms mediating chronic
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. Execute Data Science Workflows: Utilize Montana State University’s Tempest Supercomputer to process large imaging datasets and generate distribution heat maps. Collaborate Across Institutions: Coordinate
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experience to complete research projects in their field of expertise. This position will perform patch clamp electrophysiology, calcium imaging, and immunohistochemistry for to study the neurophysiology
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software programs including Microsoft Office (Word, Excel, PowerPoint) · Knowledge of computer programming/scripting (e.g., Matlab, Bash/Unix) · Knowledge and experience using image/EEG
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science