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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in evolutionary biology, ecology, plant biology, genomics, bioinformatics, computer science, plant
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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candidate will have expertise in therapeutic and/or diagnostic ultrasound and will have the opportunity for training through projects developing image-guided/feedback-controlled ultrasound therapies
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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in accordance with the applicants’ interests and expertise, but will broadly be related to the neural mechanisms underlying the cognitive control of movement and non-motor processes (such as language
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education
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retinal tissue dissection, immunohistochemical and molecular assays, confocal imaging, and basic analysis of imaging data. The candidate will help with tissue processing and data collection across multiple
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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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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics
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the pre- and post-processing of Magnetic Resonance (MR) images (or utilization of existing brain imaging markers), taking peripheral or central biomarkers, and regressing them against those images using