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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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biology, biochemistry, cell biology, immunology, or microbiology Knowledge of computers, including Microsoft Word, Excel and PowerPoint. Working Conditions Lab Environment. Application Documents Resume
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Department Booth Center for Applied Artificial Intelligence 1 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school...
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The Edson College of Nursing and Health Innovation at Arizona State University has an exciting opportunity for a collaborating statistician at the Research Assistant Professor level. This full-time fiscal-year appointment, which complements our interdisciplinary team of applied statisticians, is...
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biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan, execute
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program. There are two positions available: one with a stronger engineering development focus and a second with a stronger focus on the use of the imaging and associated subject demographics to establish
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Required Application Materials: a letter of interest a comprehensive curriculum vitae a research plan a list of at least three professional references, including their complete contact information More About
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research