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of Engineering and Computing Rice University's George R. Brown School of Engineering and Computing is a top-ranked program that empowers the next generation of leaders with strong technical and communication
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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
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- information provided in the CV and/or in the motivation letter; Advanced knowledge in Python and R programming languages, preferably applied to graph manipulation and analysis, biological network analysis and
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but in-person availability preferred. Courses will be taught in R (Quant. Methods-Data-Science-Stats and Data Visualization courses) and Python (GIS and AI courses). Apply only for one course and
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL). Experience with data management and data analytics in cloud-based
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This is an exciting opportunity to join an R&D intensive centre which has built a strong reputation for successfully delivering key projects and technology developments for the energy sector both
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably
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background in health-related research is a plus but not required KNOWLEDGE, SKILLS AND ABILITIES: * Strong coding skills in R, Stata, or other statistical software package. * Strong writing and analytical
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undergraduate student Excellent research, analytical, and writing skills Experience or Familiarity with Python or R Ability to work independently and as part of a team Preferred Qualifications Strong interest