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good collaborative skills It is an advantage with experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent
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., Python, MATLAB, etc.) The successful candidate must be enrolled in USN’s PhD program in Technology within three months of accession. For admission to the Programme, the weighted average grade of B
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to the Arctic Ocean is a requirement. Experience with statistical data analyses including knowledge of R and/or python is required. Experience in biodiversity and/or ecological studies. Proficient in both written
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(R, Python, MATLAB, or similar). Willingness to conduct fieldwork in Arctic conditions. Proficient in both written and oral English. You will be offered the opportunity to participate in digital
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experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent) certification in animal welfare (e.g. FELASA), although training
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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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-magnet design and hardware. Experience with numerical simulation of plasma accelerators (particle-in-cell simulations) and/or particle tracking. Programming skills in Python, MATLAB and/or C++ at a
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Documented experience in scientific programming (e.g., Python, or similar) Excellent written and oral English skills PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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. Python/Julia/Matlab). Excellent written and oral English. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and the regulations for the Act relating
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will