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learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. Excellence in at least one of
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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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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projects. Desired: Doctoral Degree in Bioengineering, immunology, systems biology Experience using open source packages and adapting or developing new algorithms to analyze single-cell transcriptomics and
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the response algorithm - Work with specific University client groups to determine opportunities for preventive care or risk mitigation activities - As needed, provide after-hours nurse consultation
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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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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
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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will expose you to a diverse array of techniques and tools, as well as to rich intellectual diversity. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and