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utilization Programming experience in Python Advanced knowledge of geostatistics The transition of the energy system towards climate neutrality requires, particularly in industrial applications, the use
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of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch. In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612. Some candidates may be
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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- Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake) - Experience with development and manipulation of software code, such as Python, C, C++, Qt, JavaScript
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. Flexibility with hours and workload is key. Working ability with at least one statistical programming language (e.g., R, Python). Excellent communication skills, both oral and written. Ability to work both
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39157 Job Number SE179924 Position Information Department or Unit Name Physics Position
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Programming, Organizing, Python (Programming Language), Software Program, Time Management, Work Collaboratively, Working Independently Grade R06-H Salary Range $16.92 - $26.44 / Hourly The salary range reflects
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount