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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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and consult in development of optimized laboratory utilization algorithms. Consult and collaborate with existing clinical research units to support ongoing laboratory projects. Develop and implement
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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collaboration with supervisors and other scientists to study how global biospheres alter planetary processes in ways that are remotely detectable. This research will involve: Using biogeochemical evolutionary
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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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