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Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)
Learning Knowledge of Large Language Models Python programming skills We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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(extract, transform and load). Experience in data cleaning. Experience in python and R programming. Experience with relational and non-relational databases. Experience and knowledge of the Linux environment
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Development in C# and/or Python Data Analysis with Excel Database Management Systems Analysis, Design, and Implementation PowerBI We seek candidates prepared to teach face-to-face and online course delivery
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, Poisson regression, Cox models), Experience in the statistical analysis of data from observational studies, Proficiency in SAS, R, or Python. Required Skills : Ability to appropriately interpret the results
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biology, biomedicine, statistics, bioinformatics or computer sciences - practical knowledge of at least one programming language (R, Python, Java, C/C++) and bioinformatics - Proficiency in English (spoken
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the human or social sciences with considerable knowledge and command of at least one of the following programming languages: Python, SAS, R or Stata, required or equivalent combination of education and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
, analyses, authorship. Proficiency in tools like SAS, R, Python, and SQL is essential, as is the ability to independently manage and prioritize a full spectrum of data tasks from initial scoping to the final
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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., Python packages) to streamline complex processes, such as the generation of mwTab files for metabolomics data submission. Data Management and Tracking: Design and implement data tracking systems to provide
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analytics, etc.; Be proficient in one or more statistical software packages such as SAS, SPSS, R, Stata, or Python; Exhibit a passion for student mentoring and a commitment to participating in program