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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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various functions including satellite telemetry, GPS/Iridium geolocation, scientific sensor operation, and autonomous instrument control in challenging marine environments. Responsibilities will include
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development of optimized laboratory utilization algorithms. Consult and collaborate with existing clinical research units to support ongoing laboratory projects. Develop and implement department and division
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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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migration Developing appropriate statistical algorithms for updating model parameters estimates Working with database manager to organize the fish data and environmental covariates Analyzing data and
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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