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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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working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) to include data usage search features pioneered by the democratizing data project (https
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maintaining the DataSpaces (https://dataspaces.sci.utah.edu/download/ ) project – a high-performance distributed data management framework designed for in-memory data staging and coordination in scientific
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of approaches based on algorithms, artificial intelligence and other analytical methodologies in the processes of detection, stratification, monitoring and communication of risks related to medicines and medical
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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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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• Flexibility to learn new technologies, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
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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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utility for ongoing analysis. Understand key data sources and variations in these across and within countries. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and