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-driven recommendations for ongoing research projects. * Create and maintain reproducible workflows for data analysis and visualization using tools such as MATLAB, Python and R. * Collaborate with the team
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, C/C++, GOAL, OGR, Pandas/GeoPandas, R/R-spatial, MATLAB, FORTRAN, and NetworkX. Proficient with both QGIS and ArcGIS for cartographic production and tool development. Familiarity with legacy
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background in micrometeorology, soil physics, environmental instrumentation and use of programming languages like MATLAB and R. A valid driver’s license is preferred. Funding details The grant allows for a
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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professionals aiming to lead in the AI-driven digital economy. Here are the key qualifications and requirements for admission : Master of Computer Science Degree Good programming skills (Julia, Python, Matlab
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL and
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies