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in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian
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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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public defence are eligible for appointment. The candidate must have a strong quantitative background and extensive experience in scientific programing (using e.g., Python, Matlab, and/or Julia), as
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imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data
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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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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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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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or MATLAB, is a requirement. Experience with running snowpack and/or Earth System Models is a requirement. Experience in field instrumentation or other demonstration of observational data curation is an
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. Proficiency in 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