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Field
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-motivated, creative, productive, and organized. Successful candidates should possess expertise in statistical programming languages such as SAS, Stata and/or R. There is funding available for these positions
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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ability, including coding (e.g., ‘R’) and solid understanding of underlying theory of contemporary modelling approaches demonstrated technical experience in marine biodiversity assessment and implementation
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at seminars and/or scientific meetings Strong written and oral communication skills Advanced computing skills including in programming in R You will bring your strong research expertise to a multi-disciplinary
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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to implement data analytics workflows and algorithms using scientific programming languages (preferably Python but others like R, Julia or Rust can also do). Ability to cooperate with a multidisciplinary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
discipline before start of position. Required Qualifications, Competencies, and Experience Must have ability to program fluently in at least one common scientific programming language such as Python, R
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
discipline before start of position. Required Qualifications, Competencies, and Experience Must have ability to program fluently in at least one common scientific programming language such as Python, R
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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