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Field
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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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, and Abilities Proficiency in programming languages commonly used in data analysis and machine learning, such as Python, R, or MATLAB. Must have effective oral and written communication skills; and
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programming languages is highly desirable. Theoretical and technical knowledge of the research subject matter; demonstrate the ability to independently form hypotheses; design and perform experiments; develop
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Research Associate/Post-Doctoral Fellow - Institute for Research on the African Diaspora in the Amer
point for advanced teaching and research at the City University of New York (CUNY), the nation's largest urban public university. With over 35 doctoral and master's programs of the highest caliber
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English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus. The successful candidate will join a highly collaborative group with extensive expertise in challenging
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minimum pay determined by experience level at appointment. See the following table for the current salary for this position: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales
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supporting documentation via Workday with their application, including: Cover letter describing your research background, fit for the AquOTic program, including comfort in water-based environments, research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Experience Experience in computational biology research Preferred Qualifications, Competencies, and Experience Candidates applying should be proficient in one or more of the following programming languages
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various subdivisions of the squamate body plan