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training. Lab Website: https://fbri.vtc.vt.edu/research/labs/shin.html This position combines hands-on laboratory research with computational/programming experience (MATLAB/Python), along with lab management
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for visualization, reports and dissemination. They will also clean and analyze already collected data and use Python or R to search, filter, and refine the extracted data. Study overview: The study uses UF research
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Proficiency in seismic data processing Strong skills in Python, MATLAB, and Linux environments Required Attachments (No Self-Identifying Photos): Curriculum Vitae Cover Letter Class Schedule Job Requirements
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communication skills, capable of clear communication in a work setting 1 or more years of programming experience in Python, Matlab, or something similar General numeracy skills, e.g. facility with numbers
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, processes and new technologies is a plus Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles
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Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles in one or more of the following
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
Knowledge, Skills & Abilities : Programming in python, space physics knowledge Preferred Qualifications : Machine learning experience, MS in physics The University of New Hampshire is an R1 Carnegie
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analysis and/or use of data analysis software (including SPSS/Stata, R, Python, etc.). Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning
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Python/related web application frameworks. Contributes to a welcoming working environment that fosters diversity and inclusion. This position is designated as a critical or security-sensitive position
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity