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Institute and Cornell Center for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the
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, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working with machine
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qualifications: PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or related computational field. Demonstrated experience in epidemiological
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, ecology, biological sciences, computer science, statistics, engineering) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Demonstrated expertise in one or more
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important role in the Kavli Center for Nanoscience, and the Cornell Center for Material Research. We boast access to cutting edge facilities including the Cornell High Energy Synchrotron Source and
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x-ray experiments Proficiency with scientific software for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab
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Jacob’s Institute The Urban Tech Hub at the Jacobs Institute at Cornell Tech is a pioneering academic center in New York City focused on transforming urban living through technology. We drive applied
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written and verbal communication skills Evidence of performing high-quality research independently and as part of a team Preferred skills: Ability to write and run Python scripts for data processing
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in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python, or other relevant programming languages. Record of peer-reviewed publications. Must have
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environments, such as R or Python. ● Experience working on a project that involved synthesis of evidence and data from multiple disciplines. ● Experience developing or applying systems