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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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English, both written and spoken. Additional programming experience is advantageous but not required: If you are not afraid to use python or R for analyzing and processing data, that’s a plus. As a formal
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Experience with Fortran, Python and Linux Shell Experience working with large datasets Preferred but not essential: Knowledge of wind farm parameterizations in mesoscale models Experience in the field of wave
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. Develop data processing pipelines covering drift correction, sensor I/O, and visualization implemented in Python. Active dissemination of the results in scientific articles and participation in national and
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on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. However, powerful as it is, MagTense is at present limited in its
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: Master’s degree in Social Sciences Experience with data collection and analysis methods Strong analytical and problem-solving skills Proficiency in relevant research software (e.g., Stata, R, Python
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and robotics). Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued). Marine fieldwork experience with deployed platforms is an advantage. You must
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and DMA Development of scripts for data analysis using Python and Matlab Evaluation of data and reporting Our expectations of you The successful applicant will have the following qualifications
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential