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Field
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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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for duties undertaken remotely. Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing/programming and communication skills
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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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the cross-campus Astrobiology Program , and the postdoctoral scholar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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, raster/vector analysis, spatial statistics). Strong programming skills (such as R or Python), including experience with data processing and analysis workflows. International publication activity and
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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be offered health and dental insurance and other benefits. He/she will have access to all research and training resources available at the University of Utah and to the postdoctoral training programs
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offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts. The department