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physical hypotheses. Run customised scripts using programming languages such as Fortran, Python, and/or MATLAB. Postprocessing and interpretating datasets from numerical simulations. Propose parameterization
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time series, preferably from oceanographic measurements with a focus on the polar regions. Experience with developing analysis tools, e.g., in Matlab or similar. Experience from oceanographic research
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in
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. Applicants must be proficient in both written and oral English Advantages: Documented education or work experience in the following areas: Numerical modelling in acoustics Programming in Python and MATLAB
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
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Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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functional theory or related techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and