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recordings FELASA certificate (or equivalent personal license to conduct animal experiments) is required. Fluent oral and written English communication skills Python, Matlab, R or other relevant programming
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sediment and particle transport and fluid dynamics Publications in the relevant field Preferred selection criteria Experience with programming and data analysis using Matlab, Python, or similar tools
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competence in seismic data analysis is a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured
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good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB programming languages would suit the project requirements
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doctoral degree. A strong background in computer science, and good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB
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dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles
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background in statistics is required, as well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate
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projects The ability to carry out and publish high-quality research Knowledge on ROS, Python, C++ and Matlab The following qualifications will be considered an advantage when applicants are ranked: Practical
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skills in Matlab and/or Python are required. These should be documented, for example through a GitHub profile or similar. Familiarity with numerical methods for solving Maxwell’s equations, particularly in
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relevant programming languages (e.g., Python, MATLAB, R) is a requirement. Familiarity with downscaling and bias correction of climate data (e.g., from CMIP/PMIP) is an advantage. Experience with