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imaging with image analysis, and spatial genomics and proteomics. The position will be responsible for participation in seminars, professional development opportunities, manuscript preparation and
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of experience) Responsibilities: Lead and contribute to image analytics, large language models, and tabular data machine learning projects from inception to completion Develop, implement, and optimize machine
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grants investigating pathophysiology, novel biomarkers and imaging modalities, and novel treatments for traumatic central nervous system injury. The successful candidate will help steward these scientific
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with the submission of R2 I/Ro I grant on oxidative stress in ALS. Further investigation of using imaging modalities for iron and glutathione interplay in ALS and apoptosis-related research
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Engineer II. This position assists with brain image and brain metabolic profile from clinical trials data involving Parkinson’s, Alzheimer’s and repetitive head injury patients. Assists with the development
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. and received formal training in Computational Biology, Biomedical Engineering, Bioinformatics, Imaging Analysis, or a related field. Candidates should have demonstrated experience working in a
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and properly maintains equipment. Essential Functions - Must handle research animals - Will use Image J, BioRad Imaging Software, Graphpad Prism, Adobe applications, Excel - Data will be presented
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and manipulating data API Integration and Development: Experience in developing and integrating RESTful APIs or GraphQL to connect the application with other services and databases Proficiency in image
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to systems level, with studies conducted in model systems and/or human tissue, to brain imaging research with human participants). Presents research and/or scholarly material and published abstracts
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include flow cytometry, immunohistochemistry, immunofluorescence imaging, RT-PCR, ELISA, with additional techniques as needed. The individual will identify and prepare specimens. The individual will