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understanding of power distribution systems. Working knowledge of electric power distribution systems, DER operations, and grid modeling & simulation. Working knowledge of Git. Proficiency in Python and OpenDSS
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills
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including (but not limited to): Develops proficiency in mouse behavior experimentation, stereotaxic surgery and fluorescent in vivo imaging. Collects and processes neuroimaging data with Matlab/Python
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for working with various stakeholders. Preferred Qualifications Experience with AI/ML applications in environmental data. Proficiency in Python, SQL, and Jupyter Notebooks. Experience with LiDAR data processing
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
, or Python Required Certifications or Licensure No Required Certifications or Licensure Dept/School Psychology - 32431 Primary Purpose of Organizational Unit UNCW is an 18,000-student campus located
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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programming skills are essential, with a preference for candidates proficient in Python. Experience with dark matter or neutrino experiments is desirable. What We Offer: Competitive Salary: A minimum of 300,000
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data analyses Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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learning; Proficiency in programming languages such as Python and R. Strong experience working with climate and remote sensing datasets for environmental applications. Experience with high-performance