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Field
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bash, python, and/or R. Expertise with genome-wide methylation datasets, next-generation sequencing, related molecular techniques, and biostatistics will be helpful. The candidate will have the chance to
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low-input sequencing workflows Experience analyzing genomics datasets in Python or R Ability to work across engineering and biological disciplines Stanford is an equal opportunity employer and all
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The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming
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statistical analysis platforms such as Python, R, and Java. Good communication skills Strong academic records in terms of publications, research project experiences, etc. The individual must be highly motivated
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economic structures. Quantitative and Computational Skills: Proficiency in computational tools and data analysis (e.g., Python, R, agent-based modeling) for developing economic simulations and analyzing
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languages (e.g., Python or R) is essential Demonstrated ability to collaborate across disciplines Strong communication skills and an understanding of ethical considerations in community engagement and with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Experience Candidates are expected to have strong publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA
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Experience in R, python or another scientific programming language Experience collaborating on and documenting, sharing, and managing code with version control Leadership experience Required Qualifications