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literature relevant to sea-level projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high
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sciences specifically with survey research, and statistical analysis Proficiency in programming with statistical software such as Stata, R, or Python Knowledge in relational databases Knowledge of SQL Equal
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; b) Programming languages: C/C++, Python, etc.; c) Previous use of ROOT and GEANT applications is considered an advantage; d) Experience in analyzing large datasets is considered an advantage; e
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 8 days ago
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
pipelines and export of human interpretable format(s) (graphs/figures, tables, etc...); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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to support computational analyses, interpret results, and produce publication-quality figures and written reports. Maintain and document lab software tools, HPC workflow scripts, Python packages, and
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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets