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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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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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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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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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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and