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preferred but not required. ? The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms
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Qualifications ? Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods ? Experience in the collection and processing of TEM/STEM data ? Computer programming
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure
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automated computer programs (test/simulation). Place and operate movable irrigation systems. Remove unwanted vegetation by weeding or cultivation with hand tools. Remove or trim trees, shrubs, and brush using
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at the LAT level required. Certification at the LAGT is preferred. Basic computer skills (i.e. familiarity with Microsoft Office applications including Word, Excel, Outlook, and PowerPoint) is required
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Suite applications and other business and audit-related software to conduct internal audit work and the extraction of relevant business data and its analysis using computer assisted auditing techniques
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and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools
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. Experience using business software systems in the completion of work assignments (i.e., Word, Excel, PowerPoint). Experience with and ability to comfortably use a computer and technology (including internet
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standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May