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Field
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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
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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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Communicate effectively with clinicians, pathologists, imaging scientists, and molecular technologists Maintain reproducible and well-documented analysis workflows Patient Engagement & Return-of-Data Work
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Medical center seeks applicants for a postdoctoral research position. The lab’s research program focuses on understanding the neural signaling behavioral and cognitive processes, with a long term goal of
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze
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; phenotypic analysis and imaging. Keep organized analytical data of performed experiments and expected to report findings at lab meetings. Acts as a liaison/mentor to technicians, students and other laboratory
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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical