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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 10 days ago
support tool for non-GIS users, e.g., Enterprise GIS databases, ETL workflows for data sharing, ArcGIS Dashboards; ▪ Demonstration of intermediate knowledge of python scripting and experience working with
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, chronoamperometry, half-cell measurements); iv) be able to analyze and interpret experimental data using various data analysis software (e.g., Excel, Python and Origin); vi) develop new testing procedures and
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral communication skills Ability to work both
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expertise is preferred but for the right candidate can be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral