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Job Description OVERVIEW: The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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established SOPs for new and existing molecular sequencing technologies, computational algorithms. Prepares and reviews papers on research. Develops new algorithms for analysis of RNA FISH, DNA FISH, and neural
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competency, and QA/QI. Oversee and consult in development of optimized laboratory utilization algorithms. Consult and collaborate with existing clinical research units to support ongoing laboratory projects
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either back-end Java development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from
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efforts on behalf of occupational health programs and the EHC: set annual program goals and track progress, as well as develop and track program metrics and process improvement opportunities. - Facilitate
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for new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies with established safety procedures and maintains required documentation on laboratory
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
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computational tools, pipelines, or algorithms to improve the accuracy and speed of genomic workflows, particularly for rare variants and noncoding regions. • Functional Follow-up: Implementing functional assays
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume