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Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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, multiplex immunofluorescence and immunohistochemistry techniques strong data analysis skills with experience using R; experience with Python will be highly regarded experience using relevant research software
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Python pipelines for DAS and geospatial datasets, including preprocessing, coordinate transformation, feature extraction, database management, and visualization. Apply geospatial analysis, computer vision
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programming languages (Python, PHP, MySQL, etc) and API development (RESTful,GraphQL, etc). Excellent communication skills and the ability to build relationships. Excellent technical skills in your specialist
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statistical programming packages (e.g. R) and/or scripting languages (e.g. Python), and experience working on computing clusters/computers running Linux based operating systems. This position is available full
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at the bench or in analysis. Programming in Python, R or MATLAB, and any experience of analysing image or sequencing data. A previous research project, internship or Master's thesis in a related area. How to
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implementación de pipelines automatizados para la gestión, análisis y visualización de datos geoespaciales y cartografía auxiliar utilizando R, Python y Google Earth Engine.Design and implementation of automated
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programming in Python, C++, MATLAB, or comparable languages is preferable Experience with turbulent reacting flows, direct numerical simulation (DNS), Large-Eddy Simulation (LES), or combustion modeling is an
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radiation range; Proven research experience in conducting computer simulations and designing optical systems, THz emitters, or detectors. Proficiency in the PYTHON or other programming environment