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Field
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Certification; experience with Matlab, Python or R. Deadline to Apply Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills
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system, MCNP, OpenMC, Serpent, VERA, MOOSE codes, etc.). Experience with common programming and scripting languages (e.g., Python, C++, Matlab, JavaScript). Preferred Qualifications: As this position works
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong
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biological or genomic datasets. Proficiency in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication
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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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-generation sequencing data analysis, including RNA-seq or single-cell RNA-seq. Proficiency in at least one scripting or programming language used in genomics (R, Python, or Bash/Unix). Experience with primary
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outputs. Proficiency in scientific programming and computational tools commonly used in numerical modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages