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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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translational science within a research environment. Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays
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working with Dr. Chen in regard to other projects. 15%: You will also be expected to assist with research grant submissions. Detailed documentation of analytical procedures and data is expected. You are
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members; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at
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integration of analytical and computational methods. The work will be conducted in a collaborative environment, with interactions and collaborations with researchers at Brown University and Vanderbilt
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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understanding of neuronal cell types and circuits in health and pathophysiology. You will be responsible for key aspects of the project, including data collection, analysis, interpretation, and presentation
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of the project, including neuroimaging data collection, preprocessing, and analysis. Integrate and analyze neuroimaging and cognitive/behavioral data. Contribute to the overall data analytic plan
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on postdoc’s progress. Appointment may be continued thereafter depending on funding. For more information on the Fehr Lab please visit: www.fehrlab.com or https://molecularbiosciences.ku.edu/tony-fehr . Job
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statistical data for analytical purposes and judging the validity of the data). Job Duties Preparation of research manuscripts (original manuscripts with research data or reviews) and research reports related