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communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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the Association of Public Health Laboratories and is associated with the University of Iowa Department of Chemistry Radiochemistry Graduate Certificate Program. The postdoctoral scholar will leverage this support
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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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